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hello<00:00:14.120><c> everybody</c><00:00:14.719><c> I'm</c><00:00:14.879><c> Alexi</c><00:00:15.240><c> kov</c><00:00:15.719><c> the</c>

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hello everybody I'm Alexi kov the
 

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hello everybody I'm Alexi kov the
organizer<00:00:16.560><c> of</c><00:00:16.760><c> SF</c><00:00:17.160><c> text</c><00:00:17.480><c> a</c><00:00:17.600><c> new</c><00:00:17.760><c> metup</c><00:00:18.160><c> devoted</c>

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organizer of SF text a new metup devoted
 

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organizer of SF text a new metup devoted
to<00:00:18.680><c> text</c><00:00:18.880><c> mining</c><00:00:19.400><c> AI</c><00:00:19.880><c> search</c><00:00:20.720><c> NLP</c><00:00:21.320><c> and</c>

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to text mining AI search NLP and
 

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to text mining AI search NLP and
basically<00:00:22.240><c> discovering</c><00:00:22.560><c> human</c><00:00:22.840><c> anten</c><00:00:23.480><c> behind</c>

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basically discovering human anten behind
 

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basically discovering human anten behind
you<00:00:24.160><c> know</c><00:00:24.400><c> the</c><00:00:24.960><c> strings</c><00:00:25.359><c> of</c><00:00:25.599><c> text</c><00:00:26.599><c> and</c><00:00:26.840><c> this</c><00:00:26.960><c> is</c>

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you know the strings of text and this is
 

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you know the strings of text and this is
our<00:00:27.279><c> second</c><00:00:27.519><c> meet</c><00:00:27.760><c> up</c><00:00:27.920><c> we're</c><00:00:28.160><c> here</c><00:00:28.359><c> at</c><00:00:28.640><c> lithium</c>

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our second meet up we're here at lithium
 

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our second meet up we're here at lithium
and<00:00:30.080><c> have</c><00:00:30.320><c> ad</c><00:00:31.320><c> uh</c><00:00:31.439><c> lead</c><00:00:31.759><c> research</c><00:00:32.200><c> engineer</c><00:00:32.719><c> at</c>

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and have ad uh lead research engineer at
 

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and have ad uh lead research engineer at
lithium<00:00:33.280><c> with</c><00:00:33.440><c> us</c><00:00:33.719><c> and</c><00:00:34.520><c> uh</c><00:00:34.719><c> we</c><00:00:34.920><c> formerly</c><00:00:35.360><c> were</c>

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lithium with us and uh we formerly were
 

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lithium with us and uh we formerly were
colleagues<00:00:35.760><c> at</c><00:00:35.920><c> Cloud</c><00:00:36.640><c> so</c><00:00:37.000><c> I</c><00:00:37.160><c> know</c><00:00:37.440><c> quite</c><00:00:37.600><c> a</c>

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colleagues at Cloud so I know quite a
 

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colleagues at Cloud so I know quite a
bit<00:00:37.960><c> about</c><00:00:38.399><c> cloud</c><00:00:39.399><c> and</c><00:00:39.760><c> uh</c><00:00:39.879><c> the</c><00:00:40.039><c> topic</c><00:00:40.280><c> today</c>

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bit about cloud and uh the topic today
 

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bit about cloud and uh the topic today
is<00:00:40.680><c> topics</c><00:00:41.640><c> U</c><00:00:41.960><c> which</c><00:00:42.079><c> is</c><00:00:42.239><c> something</c><00:00:42.960><c> that</c>

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is topics U which is something that
 

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is topics U which is something that
cloud<00:00:43.440><c> does</c><00:00:43.719><c> really</c><00:00:44.000><c> well</c><00:00:44.200><c> and</c><00:00:44.360><c> Adia</c><00:00:45.039><c> works</c><00:00:45.320><c> on</c>

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cloud does really well and Adia works on
 

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cloud does really well and Adia works on
is<00:00:45.640><c> going</c><00:00:45.760><c> to</c><00:00:45.960><c> talk</c><00:00:46.160><c> about</c><00:00:46.960><c> tonight</c><00:00:47.320><c> so</c><00:00:47.440><c> we'll</c>

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is going to talk about tonight so we'll
 

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is going to talk about tonight so we'll
have<00:00:47.840><c> a</c><00:00:48.199><c> the</c><00:00:48.360><c> talk</c><00:00:48.600><c> separately</c><00:00:49.559><c> so</c><00:00:49.840><c> I'm</c><00:00:49.960><c> just</c>

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have a the talk separately so I'm just
 

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have a the talk separately so I'm just
going<00:00:50.160><c> to</c><00:00:50.320><c> ask</c><00:00:50.440><c> a</c><00:00:50.520><c> few</c><00:00:50.719><c> questions</c><00:00:51.039><c> to</c><00:00:51.239><c> kind</c><00:00:51.360><c> of</c>

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going to ask a few questions to kind of
 

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going to ask a few questions to kind of
get<00:00:51.640><c> more</c><00:00:51.879><c> perspective</c><00:00:52.399><c> on</c><00:00:52.640><c> on</c><00:00:52.920><c> this</c><00:00:53.280><c> whole</c>

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get more perspective on on this whole
 

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get more perspective on on this whole
Space<00:00:54.359><c> yeah</c><00:00:55.000><c> so</c><00:00:55.199><c> it's</c><00:00:55.359><c> great</c><00:00:55.520><c> to</c><00:00:55.600><c> have</c><00:00:55.719><c> your</c>

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Space yeah so it's great to have your
 

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Space yeah so it's great to have your
DET<00:00:56.199><c> with</c><00:00:56.320><c> us</c><00:00:56.840><c> thanks</c><00:00:57.039><c> foring</c><00:00:57.440><c> us</c><00:00:58.440><c> uh</c><00:00:59.199><c> so</c><00:00:59.760><c> uh</c><00:01:00.120><c> uh</c>

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DET with us thanks foring us uh so uh uh
 

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DET with us thanks foring us uh so uh uh
how<00:01:00.760><c> did</c><00:01:00.960><c> you</c><00:01:01.440><c> get</c><00:01:01.640><c> interested</c><00:01:02.039><c> in</c><00:01:02.160><c> this</c><00:01:02.320><c> whole</c>

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how did you get interested in this whole
 

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how did you get interested in this whole
space<00:01:02.960><c> I</c><00:01:03.079><c> know</c><00:01:03.320><c> that</c><00:01:03.440><c> you</c><00:01:03.559><c> know</c><00:01:04.439><c> what</c><00:01:04.559><c> you</c><00:01:04.680><c> were</c>

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space I know that you know what you were
 

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space I know that you know what you were
doing<00:01:04.960><c> at</c><00:01:05.119><c> Cloud</c><00:01:05.680><c> you</c><00:01:05.799><c> know</c><00:01:06.240><c> and</c><00:01:06.360><c> you're</c>

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doing at Cloud you know and you're
 

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doing at Cloud you know and you're
really<00:01:06.760><c> interested</c><00:01:07.119><c> in</c><00:01:07.320><c> the</c><00:01:07.479><c> science</c><00:01:08.119><c> of</c>

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really interested in the science of
 

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really interested in the science of
these<00:01:08.560><c> things</c><00:01:08.840><c> how</c><00:01:09.000><c> they</c><00:01:09.200><c> work</c><00:01:09.759><c> so</c><00:01:09.920><c> can</c><00:01:10.040><c> you</c>

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these things how they work so can you
 

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these things how they work so can you
tell<00:01:10.400><c> me</c><00:01:10.560><c> a</c><00:01:10.680><c> little</c><00:01:10.840><c> bit</c><00:01:11.080><c> about</c><00:01:11.280><c> your</c>

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tell me a little bit about your
 

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tell me a little bit about your
background<00:01:12.280><c> you</c><00:01:12.400><c> know</c><00:01:12.799><c> and</c><00:01:13.119><c> what</c><00:01:13.280><c> brought</c><00:01:13.560><c> you</c>

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background you know and what brought you
 

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background you know and what brought you
to<00:01:14.640><c> to</c><00:01:14.840><c> these</c><00:01:15.080><c> problems</c><00:01:15.600><c> definitely</c><00:01:16.439><c> um</c><00:01:16.680><c> I</c>

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to to these problems definitely um I
 

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to to these problems definitely um I
think<00:01:16.920><c> it</c><00:01:17.080><c> started</c><00:01:17.479><c> mainly</c><00:01:17.960><c> when</c><00:01:18.280><c> I</c><00:01:18.400><c> started</c>

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think it started mainly when I started
 

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think it started mainly when I started
looking<00:01:19.439><c> at</c><00:01:19.960><c> uh</c><00:01:20.400><c> I</c><00:01:20.560><c> I</c><00:01:20.640><c> come</c><00:01:20.880><c> from</c><00:01:21.119><c> originally</c>

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looking at uh I I come from originally
 

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looking at uh I I come from originally
from<00:01:21.680><c> an</c><00:01:22.200><c> electrical</c><00:01:22.640><c> engineering</c>

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from an electrical engineering
 

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from an electrical engineering
background<00:01:24.119><c> and</c><00:01:24.280><c> I</c><00:01:24.400><c> was</c><00:01:24.600><c> looking</c><00:01:24.799><c> at</c><00:01:25.000><c> wireless</c>

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background and I was looking at wireless
 

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background and I was looking at wireless
networks<00:01:26.040><c> as</c><00:01:26.280><c> my</c><00:01:26.600><c> initial</c><00:01:27.240><c> field</c><00:01:27.479><c> of</c><00:01:27.640><c> study</c>

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networks as my initial field of study
 

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networks as my initial field of study
okay<00:01:28.680><c> uh</c><00:01:29.119><c> from</c><00:01:29.320><c> wireless</c><00:01:29.640><c> network</c><00:01:29.960><c> Works</c>

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okay uh from wireless network Works
 

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okay uh from wireless network Works
communication<00:01:31.040><c> was</c><00:01:31.280><c> a</c><00:01:31.880><c> uh</c><00:01:32.079><c> kind</c><00:01:32.240><c> of</c><00:01:32.360><c> an</c><00:01:32.520><c> easy</c>

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communication was a uh kind of an easy
 

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communication was a uh kind of an easy
walk<00:01:33.079><c> through</c><00:01:33.200><c> and</c><00:01:33.399><c> there</c><00:01:34.079><c> uh</c><00:01:34.240><c> information</c>

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walk through and there uh information
 

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walk through and there uh information
Theory<00:01:35.159><c> became</c><00:01:35.479><c> like</c><00:01:35.600><c> a</c><00:01:35.759><c> very</c><00:01:35.960><c> interesting</c>

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Theory became like a very interesting
 

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Theory became like a very interesting
subject<00:01:37.159><c> as</c><00:01:37.280><c> I</c><00:01:37.560><c> started</c><00:01:37.880><c> going</c><00:01:38.159><c> deeper</c><00:01:38.439><c> into</c>

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subject as I started going deeper into
 

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subject as I started going deeper into
that<00:01:38.799><c> whole</c><00:01:39.040><c> life</c><00:01:39.280><c> I</c><00:01:39.399><c> realized</c><00:01:39.799><c> that</c><00:01:39.960><c> it's</c>

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that whole life I realized that it's
 

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that whole life I realized that it's
probably<00:01:41.320><c> uh</c><00:01:41.880><c> easier</c><00:01:42.200><c> to</c><00:01:42.399><c> work</c><00:01:42.759><c> with</c><00:01:43.240><c> when</c><00:01:43.360><c> you</c>

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probably uh easier to work with when you
 

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probably uh easier to work with when you
look<00:01:43.680><c> at</c><00:01:43.840><c> it</c><00:01:44.000><c> from</c><00:01:44.280><c> the</c><00:01:44.439><c> higher</c><00:01:44.759><c> abstraction</c>

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look at it from the higher abstraction
 

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look at it from the higher abstraction
uh<00:01:45.799><c> and</c><00:01:46.399><c> that's</c><00:01:46.600><c> when</c><00:01:46.920><c> I</c><00:01:47.079><c> kind</c><00:01:47.240><c> of</c><00:01:47.560><c> moved</c><00:01:47.920><c> into</c>

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uh and that's when I kind of moved into
 

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uh and that's when I kind of moved into
the<00:01:48.799><c> domain</c><00:01:49.079><c> of</c><00:01:49.240><c> like</c><00:01:49.360><c> machine</c><00:01:49.640><c> learning</c><00:01:50.000><c> in</c>

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the domain of like machine learning in
 

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the domain of like machine learning in
particular<00:01:51.040><c> so</c><00:01:51.520><c> uh</c><00:01:51.719><c> at</c><00:01:52.000><c> I</c><00:01:52.119><c> did</c><00:01:52.280><c> my</c><00:01:52.479><c> masters</c>

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particular so uh at I did my masters
 

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particular so uh at I did my masters
from<00:01:53.159><c> Stanford</c><00:01:53.920><c> uh</c><00:01:54.200><c> and</c><00:01:54.439><c> there</c><00:01:54.719><c> I</c><00:01:54.880><c> mainly</c>

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from Stanford uh and there I mainly
 

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from Stanford uh and there I mainly
specialized<00:01:55.759><c> in</c><00:01:55.880><c> machine</c><00:01:56.119><c> learning</c><00:01:56.439><c> and</c><00:01:56.600><c> data</c>

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specialized in machine learning and data
 

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specialized in machine learning and data
mining<00:01:57.600><c> and</c><00:01:57.719><c> that</c><00:01:57.880><c> really</c><00:01:58.119><c> got</c><00:01:58.280><c> me</c><00:01:58.479><c> interested</c>

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mining and that really got me interested
 

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mining and that really got me interested
into<00:01:59.280><c> the</c><00:01:59.399><c> various</c><00:02:00.039><c> domains</c><00:02:00.520><c> where</c><00:02:00.680><c> you</c><00:02:00.759><c> can</c>

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into the various domains where you can
 

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into the various domains where you can
apply<00:02:01.200><c> machine</c><00:02:01.479><c> learning</c><00:02:02.479><c> and</c><00:02:02.920><c> uh</c><00:02:03.240><c> text</c><00:02:03.640><c> was</c>

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apply machine learning and uh text was
 

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apply machine learning and uh text was
one<00:02:03.920><c> of</c><00:02:04.039><c> the</c><00:02:04.159><c> big</c><00:02:04.320><c> ones</c><00:02:04.799><c> and</c><00:02:05.320><c> uh</c><00:02:06.079><c> that</c><00:02:06.200><c> was</c>

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one of the big ones and uh that was
 

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one of the big ones and uh that was
around<00:02:06.640><c> maybe</c><00:02:06.840><c> four</c><00:02:07.079><c> years</c><00:02:07.280><c> ago</c><00:02:07.640><c> when</c><00:02:08.560><c> uh</c><00:02:08.720><c> you</c>

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around maybe four years ago when uh you
 

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around maybe four years ago when uh you
know<00:02:09.000><c> the</c><00:02:09.360><c> social</c><00:02:09.640><c> media</c><00:02:09.920><c> boom</c><00:02:10.239><c> was</c><00:02:10.440><c> just</c><00:02:10.720><c> like</c>

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know the social media boom was just like
 

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know the social media boom was just like
taking<00:02:11.280><c> off</c><00:02:11.640><c> there</c><00:02:11.840><c> A</c><00:02:11.959><c> lot</c><00:02:12.120><c> of</c><00:02:12.640><c> lot</c><00:02:12.800><c> of</c><00:02:13.000><c> people</c>

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taking off there A lot of lot of people
 

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taking off there A lot of lot of people
everybody<00:02:14.040><c> uh</c><00:02:14.599><c> getting</c><00:02:14.840><c> overwhelmed</c><00:02:15.360><c> with</c><00:02:15.480><c> so</c>

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everybody uh getting overwhelmed with so
 

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everybody uh getting overwhelmed with so
much<00:02:15.879><c> data</c><00:02:16.160><c> around</c><00:02:16.519><c> and</c><00:02:16.959><c> I</c><00:02:17.040><c> thought</c><00:02:17.160><c> it</c><00:02:17.280><c> was</c><00:02:17.400><c> a</c>

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much data around and I thought it was a
 

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much data around and I thought it was a
per<00:02:17.800><c> perfect</c><00:02:18.120><c> opportunity</c><00:02:18.640><c> to</c><00:02:18.840><c> kind</c><00:02:19.000><c> of</c><00:02:19.239><c> look</c>

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per perfect opportunity to kind of look
 

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per perfect opportunity to kind of look
at<00:02:19.920><c> uh</c><00:02:20.440><c> uh</c><00:02:20.640><c> information</c><00:02:21.040><c> in</c><00:02:21.239><c> social</c><00:02:21.519><c> media</c><00:02:22.440><c> and</c>

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at uh uh information in social media and
 

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at uh uh information in social media and
uh<00:02:23.000><c> how</c><00:02:23.160><c> machine</c><00:02:23.440><c> learning</c><00:02:23.760><c> can</c><00:02:23.920><c> be</c><00:02:24.080><c> applied</c>

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uh how machine learning can be applied
 

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uh how machine learning can be applied
to<00:02:24.599><c> that</c><00:02:25.160><c> aspect</c><00:02:25.680><c> and</c><00:02:26.080><c> uh</c><00:02:26.640><c> yeah</c><00:02:26.760><c> so</c><00:02:26.920><c> I</c><00:02:27.040><c> joined</c>

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to that aspect and uh yeah so I joined
 

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to that aspect and uh yeah so I joined
Cloud<00:02:28.040><c> at</c><00:02:28.160><c> that</c><00:02:28.360><c> point</c><00:02:29.040><c> and</c><00:02:29.480><c> with</c><00:02:30.120><c> basically</c>

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Cloud at that point and with basically
 

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Cloud at that point and with basically
there<00:02:30.640><c> was</c><00:02:30.879><c> this</c><00:02:31.160><c> huge</c><00:02:31.680><c> data</c><00:02:32.040><c> set</c><00:02:32.319><c> to</c><00:02:32.599><c> work</c><00:02:32.840><c> on</c>

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there was this huge data set to work on
 

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there was this huge data set to work on
and<00:02:33.840><c> uh</c><00:02:33.959><c> it's</c><00:02:34.120><c> been</c><00:02:34.319><c> pretty</c><00:02:34.560><c> exciting</c><00:02:35.360><c> yes</c>

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and uh it's been pretty exciting yes
 

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and uh it's been pretty exciting yes
yeah<00:02:36.000><c> I</c><00:02:36.080><c> know</c><00:02:36.440><c> you</c><00:02:36.560><c> know</c><00:02:36.840><c> some</c><00:02:37.080><c> of</c><00:02:37.239><c> the</c><00:02:37.319><c> story</c>

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yeah I know you know some of the story
 

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yeah I know you know some of the story
and<00:02:37.720><c> that's</c><00:02:37.879><c> you</c><00:02:38.000><c> know</c><00:02:38.120><c> it</c><00:02:38.480><c> always</c><00:02:38.720><c> amazes</c><00:02:39.120><c> me</c>

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and that's you know it always amazes me
 

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and that's you know it always amazes me
that<00:02:39.680><c> you</c><00:02:39.800><c> know</c><00:02:39.959><c> with</c><00:02:40.080><c> a</c><00:02:40.239><c> relatively</c><00:02:40.680><c> small</c>

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that you know with a relatively small
 

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that you know with a relatively small
team<00:02:41.720><c> Cloud</c><00:02:42.040><c> was</c><00:02:42.200><c> able</c><00:02:42.400><c> to</c><00:02:42.560><c> achieve</c><00:02:42.879><c> so</c><00:02:43.040><c> much</c>

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team Cloud was able to achieve so much
 

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team Cloud was able to achieve so much
right<00:02:43.720><c> because</c><00:02:43.879><c> so</c><00:02:44.080><c> now</c><00:02:44.640><c> as</c><00:02:44.760><c> I</c><00:02:45.159><c> understand</c><00:02:45.560><c> it</c>

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right because so now as I understand it
 

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right because so now as I understand it
it<00:02:46.040><c> ingests</c><00:02:46.640><c> essentially</c><00:02:47.080><c> most</c><00:02:47.319><c> of</c><00:02:47.480><c> the</c>

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it ingests essentially most of the
 

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it ingests essentially most of the
Social<00:02:47.920><c> Web</c><00:02:48.480><c> yeah</c><00:02:49.040><c> a</c><00:02:49.159><c> lot</c><00:02:49.280><c> of</c><00:02:49.440><c> it</c><00:02:49.680><c> yes</c><00:02:50.080><c> I</c><00:02:50.159><c> mean</c>

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Social Web yeah a lot of it yes I mean
 

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Social Web yeah a lot of it yes I mean
uh<00:02:50.680><c> I</c><00:02:50.760><c> mean</c><00:02:50.879><c> I</c><00:02:51.040><c> remember</c><00:02:51.440><c> you</c><00:02:51.519><c> know</c><00:02:51.760><c> it</c><00:02:51.920><c> was</c>

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uh I mean I remember you know it was
 

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uh I mean I remember you know it was
quite<00:02:52.560><c> a</c><00:02:52.680><c> few</c><00:02:52.840><c> itations</c><00:02:53.319><c> to</c><00:02:53.440><c> get</c><00:02:53.680><c> there</c><00:02:53.879><c> but</c>

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quite a few itations to get there but
 

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quite a few itations to get there but
how<00:02:55.080><c> I</c><00:02:55.159><c> mean</c><00:02:55.400><c> how</c><00:02:55.519><c> do</c><00:02:55.680><c> you</c><00:02:55.800><c> find</c><00:02:56.120><c> balance</c>

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how I mean how do you find balance
 

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how I mean how do you find balance
basically<00:02:57.040><c> with</c><00:02:57.239><c> you</c><00:02:57.360><c> know</c><00:02:58.040><c> kind</c><00:02:58.159><c> of</c><00:02:58.239><c> a</c>

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basically with you know kind of a
 

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basically with you know kind of a
startup<00:02:58.879><c> setting</c><00:02:59.400><c> you</c><00:02:59.519><c> know</c><00:02:59.920><c> be</c><00:03:00.040><c> able</c><00:03:00.239><c> to</c><00:03:00.800><c> to</c>

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startup setting you know be able to to
 

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startup setting you know be able to to
regularly<00:03:02.519><c> daily</c><00:03:03.239><c> you</c><00:03:03.360><c> know</c><00:03:03.879><c> ingest</c><00:03:04.319><c> all</c><00:03:04.480><c> of</c>

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regularly daily you know ingest all of
 

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regularly daily you know ingest all of
this<00:03:04.840><c> data</c><00:03:05.200><c> and</c><00:03:05.480><c> do</c><00:03:05.720><c> some</c><00:03:05.920><c> science</c><00:03:06.239><c> on</c><00:03:06.400><c> this</c>

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this data and do some science on this
 

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this data and do some science on this
like<00:03:06.760><c> how</c><00:03:06.959><c> how</c><00:03:07.080><c> do</c><00:03:07.159><c> you</c><00:03:07.360><c> balance</c><00:03:08.159><c> the</c>

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like how how do you balance the
 

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like how how do you balance the
engineering<00:03:09.080><c> work</c><00:03:09.480><c> versus</c><00:03:09.840><c> the</c><00:03:09.959><c> research</c>

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engineering work versus the research
 

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engineering work versus the research
work<00:03:10.959><c> right</c><00:03:11.319><c> right</c><00:03:11.720><c> so</c><00:03:12.040><c> I</c><00:03:12.159><c> think</c><00:03:12.640><c> uh</c><00:03:13.319><c> I</c><00:03:13.400><c> think</c>

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work right right so I think uh I think
 

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work right right so I think uh I think
the<00:03:13.760><c> important</c><00:03:14.280><c> part</c><00:03:14.519><c> is</c><00:03:14.680><c> the</c><00:03:14.799><c> engineering</c>

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the important part is the engineering
 

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the important part is the engineering
work<00:03:15.920><c> at</c><00:03:16.000><c> the</c><00:03:16.120><c> end</c><00:03:16.239><c> of</c><00:03:16.319><c> the</c><00:03:16.480><c> day</c><00:03:16.680><c> because</c>

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work at the end of the day because
 

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work at the end of the day because
unless<00:03:17.560><c> you're</c><00:03:17.799><c> able</c><00:03:18.000><c> to</c><00:03:18.239><c> consume</c><00:03:19.200><c> uh</c><00:03:19.599><c> this</c>

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unless you're able to consume uh this
 

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unless you're able to consume uh this
kind<00:03:19.959><c> of</c><00:03:20.120><c> data</c><00:03:20.519><c> and</c><00:03:20.680><c> build</c><00:03:20.920><c> up</c><00:03:21.120><c> Frameworks</c>

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kind of data and build up Frameworks
 

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kind of data and build up Frameworks
that<00:03:21.799><c> allow</c><00:03:22.080><c> you</c><00:03:22.159><c> to</c><00:03:22.400><c> kind</c><00:03:22.560><c> of</c><00:03:23.000><c> iterate</c>

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that allow you to kind of iterate
 

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that allow you to kind of iterate
quickly<00:03:24.040><c> or</c><00:03:24.239><c> try</c><00:03:24.400><c> to</c><00:03:24.560><c> do</c><00:03:24.760><c> things</c><00:03:25.120><c> which</c><00:03:25.560><c> where</c>

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quickly or try to do things which where
 

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quickly or try to do things which where
you<00:03:26.120><c> are</c><00:03:26.280><c> able</c><00:03:26.480><c> to</c><00:03:26.920><c> push</c><00:03:27.200><c> things</c><00:03:27.360><c> out</c><00:03:27.599><c> fast</c><00:03:27.879><c> to</c>

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you are able to push things out fast to
 

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you are able to push things out fast to
production<00:03:28.599><c> and</c><00:03:28.720><c> so</c><00:03:28.879><c> on</c><00:03:29.280><c> no</c><00:03:29.439><c> matter</c><00:03:29.799><c> how</c>

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production and so on no matter how
 

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production and so on no matter how
complex<00:03:30.360><c> your</c><00:03:30.560><c> algorithms</c><00:03:31.200><c> are</c><00:03:31.400><c> it's</c><00:03:31.560><c> not</c>

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complex your algorithms are it's not
 

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complex your algorithms are it's not
going<00:03:31.799><c> to</c><00:03:31.959><c> amount</c><00:03:32.200><c> to</c><00:03:32.319><c> anything</c><00:03:32.640><c> at</c><00:03:32.760><c> the</c><00:03:32.840><c> end</c>

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going to amount to anything at the end
 

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going to amount to anything at the end
of<00:03:33.080><c> the</c><00:03:33.200><c> day</c><00:03:33.400><c> so</c><00:03:33.920><c> I</c><00:03:34.040><c> think</c><00:03:34.519><c> uh</c><00:03:34.840><c> that</c><00:03:34.959><c> is</c><00:03:35.200><c> where</c>

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of the day so I think uh that is where
 

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of the day so I think uh that is where
like<00:03:35.720><c> a</c><00:03:35.840><c> lot</c><00:03:36.000><c> of</c><00:03:36.680><c> effort</c><00:03:37.080><c> went</c><00:03:37.319><c> in</c><00:03:37.599><c> in</c><00:03:37.760><c> the</c>

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like a lot of effort went in in the
 

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like a lot of effort went in in the
beginning<00:03:38.159><c> years</c><00:03:38.360><c> of</c><00:03:38.519><c> cloud</c><00:03:38.879><c> at</c><00:03:39.000><c> least</c><00:03:39.239><c> and</c><00:03:40.080><c> uh</c>

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beginning years of cloud at least and uh
 

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beginning years of cloud at least and uh
finally<00:03:41.080><c> when</c><00:03:41.280><c> we</c><00:03:41.480><c> did</c><00:03:41.720><c> have</c><00:03:41.840><c> a</c><00:03:41.959><c> framework</c>

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finally when we did have a framework
 

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finally when we did have a framework
where<00:03:42.599><c> we</c><00:03:42.720><c> could</c><00:03:42.879><c> ingest</c><00:03:43.239><c> this</c><00:03:43.439><c> data</c><00:03:43.799><c> and</c><00:03:43.920><c> run</c>

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where we could ingest this data and run
 

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where we could ingest this data and run
like<00:03:44.840><c> pipelines</c><00:03:45.319><c> every</c><00:03:45.519><c> day</c><00:03:45.959><c> then</c><00:03:46.159><c> it</c><00:03:46.319><c> became</c>

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like pipelines every day then it became
 

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like pipelines every day then it became
easy<00:03:46.799><c> to</c><00:03:47.000><c> kind</c><00:03:47.120><c> of</c><00:03:47.319><c> let's</c><00:03:47.480><c> say</c><00:03:47.879><c> let's</c><00:03:48.120><c> try</c><00:03:48.599><c> try</c>

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easy to kind of let's say let's try try
 

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easy to kind of let's say let's try try
out<00:03:48.959><c> this</c><00:03:49.120><c> algorithm</c><00:03:49.680><c> let's</c><00:03:49.840><c> try</c><00:03:50.040><c> out</c><00:03:50.480><c> this</c>

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out this algorithm let's try out this
 

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out this algorithm let's try out this
model<00:03:50.959><c> let's</c><00:03:51.120><c> try</c><00:03:51.280><c> out</c><00:03:51.480><c> these</c><00:03:51.640><c> features</c><00:03:52.360><c> let's</c>

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model let's try out these features let's
 

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model let's try out these features let's
maybe<00:03:52.840><c> vary</c><00:03:53.120><c> it</c><00:03:53.239><c> up</c><00:03:53.439><c> a</c><00:03:53.560><c> bit</c><00:03:53.840><c> and</c><00:03:53.920><c> then</c><00:03:54.280><c> maybe</c>

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maybe vary it up a bit and then maybe
 

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maybe vary it up a bit and then maybe
the<00:03:55.400><c> Cycles</c><00:03:55.840><c> became</c><00:03:56.159><c> faster</c><00:03:56.599><c> and</c><00:03:57.000><c> iteration</c>

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the Cycles became faster and iteration
 

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the Cycles became faster and iteration
became<00:03:57.799><c> faster</c><00:03:58.120><c> so</c><00:03:58.319><c> I</c><00:03:58.480><c> guess</c><00:03:59.159><c> uh</c><00:03:59.319><c> engine</c><00:03:59.920><c> ing</c>

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became faster so I guess uh engine ing
 

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became faster so I guess uh engine ing
played<00:04:00.599><c> plays</c><00:04:00.840><c> a</c><00:04:00.959><c> very</c><00:04:01.159><c> big</c><00:04:01.360><c> role</c><00:04:01.599><c> when</c><00:04:01.720><c> it</c>

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played plays a very big role when it
 

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played plays a very big role when it
comes<00:04:02.040><c> to</c><00:04:02.200><c> data</c><00:04:02.439><c> science</c><00:04:02.799><c> although</c><00:04:03.560><c> uh</c><00:04:03.640><c> when</c>

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comes to data science although uh when
 

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comes to data science although uh when
we<00:04:03.879><c> talk</c><00:04:04.079><c> about</c><00:04:04.280><c> data</c><00:04:04.519><c> science</c><00:04:04.799><c> in</c><00:04:04.959><c> particular</c>

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we talk about data science in particular
 

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we talk about data science in particular
we<00:04:05.720><c> often</c><00:04:06.040><c> ignore</c><00:04:06.560><c> that</c><00:04:06.920><c> aspect</c><00:04:07.239><c> of</c><00:04:07.400><c> it</c><00:04:07.959><c> yes</c><00:04:08.760><c> uh</c>

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we often ignore that aspect of it yes uh
 

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we often ignore that aspect of it yes uh
so<00:04:09.159><c> I</c><00:04:09.319><c> remember</c><00:04:10.200><c> uh</c><00:04:10.560><c> you</c><00:04:10.720><c> used</c><00:04:10.959><c> a</c><00:04:11.079><c> lot</c><00:04:11.200><c> of</c>

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so I remember uh you used a lot of
 

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so I remember uh you used a lot of
different<00:04:11.560><c> tools</c><00:04:12.000><c> you</c><00:04:12.120><c> know</c><00:04:12.480><c> we</c><00:04:12.680><c> at</c><00:04:12.840><c> Cloud</c><00:04:13.159><c> can</c>

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different tools you know we at Cloud can
 

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different tools you know we at Cloud can
you<00:04:13.400><c> talk</c><00:04:13.560><c> a</c><00:04:13.640><c> little</c><00:04:13.799><c> bit</c><00:04:14.040><c> about</c><00:04:14.400><c> what</c><00:04:14.599><c> kind</c><00:04:14.760><c> of</c>

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you talk a little bit about what kind of
 

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you talk a little bit about what kind of
uh<00:04:15.159><c> tools</c><00:04:15.400><c> are</c><00:04:15.600><c> using</c><00:04:16.600><c> uh</c><00:04:16.720><c> in</c><00:04:16.840><c> your</c><00:04:17.000><c> daily</c><00:04:17.280><c> work</c>

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uh tools are using uh in your daily work
 

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uh tools are using uh in your daily work
sure<00:04:18.359><c> yeah</c><00:04:18.560><c> so</c><00:04:19.040><c> uh</c><00:04:19.400><c> I</c><00:04:19.479><c> think</c><00:04:19.680><c> most</c><00:04:19.880><c> of</c><00:04:20.000><c> the</c>

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sure yeah so uh I think most of the
 

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sure yeah so uh I think most of the
stand<00:04:20.479><c> for</c><00:04:20.600><c> machine</c><00:04:20.880><c> learning</c><00:04:21.199><c> at</c><00:04:21.320><c> least</c><00:04:21.479><c> we</c>

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stand for machine learning at least we
 

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stand for machine learning at least we
use<00:04:21.840><c> most</c><00:04:21.959><c> of</c><00:04:22.079><c> the</c><00:04:22.160><c> standard</c><00:04:22.560><c> ones</c><00:04:22.919><c> like</c><00:04:23.320><c> uh</c>

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use most of the standard ones like uh
 

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use most of the standard ones like uh
python<00:04:24.160><c> libraries</c><00:04:24.759><c> and</c><00:04:25.440><c> uh</c><00:04:25.600><c> WCA</c><00:04:26.120><c> and</c><00:04:26.560><c> so</c><00:04:26.720><c> on</c><00:04:27.280><c> uh</c>

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python libraries and uh WCA and so on uh
 

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python libraries and uh WCA and so on uh
but<00:04:27.520><c> in</c><00:04:27.639><c> terms</c><00:04:27.880><c> of</c><00:04:28.000><c> the</c><00:04:28.120><c> data</c><00:04:28.400><c> pipeline</c><00:04:28.800><c> we</c><00:04:28.919><c> use</c>

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but in terms of the data pipeline we use
 

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but in terms of the data pipeline we use
uh<00:04:29.680><c> main</c><00:04:29.960><c> the</c><00:04:30.080><c> map</c><00:04:30.320><c> produ</c><00:04:30.639><c> stack</c><00:04:31.320><c> with</c><00:04:31.680><c> the</c>

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uh main the map produ stack with the
 

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uh main the map produ stack with the
with<00:04:32.560><c> our</c><00:04:33.000><c> hdfs</c><00:04:33.759><c> And</c><00:04:34.479><c> Hive</c><00:04:34.840><c> on</c><00:04:35.000><c> top</c><00:04:35.160><c> of</c><00:04:35.280><c> that</c>

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with our hdfs And Hive on top of that
 

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with our hdfs And Hive on top of that
for<00:04:35.560><c> our</c><00:04:35.720><c> quering</c><00:04:36.080><c> language</c><00:04:36.960><c> Hive</c><00:04:37.240><c> is</c>

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for our quering language Hive is
 

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for our quering language Hive is
actually<00:04:37.759><c> a</c><00:04:37.840><c> pretty</c><00:04:38.039><c> powerful</c><00:04:38.360><c> abstraction</c>

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actually a pretty powerful abstraction
 

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actually a pretty powerful abstraction
because<00:04:39.080><c> it</c><00:04:39.199><c> allows</c><00:04:39.520><c> us</c><00:04:39.680><c> to</c><00:04:40.160><c> write</c><00:04:40.400><c> like</c>

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because it allows us to write like
 

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because it allows us to write like
complex<00:04:40.919><c> queries</c><00:04:41.360><c> which</c><00:04:41.560><c> trigger</c><00:04:41.960><c> like</c>

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complex queries which trigger like
 

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complex queries which trigger like
multiple<00:04:42.479><c> jobs</c><00:04:42.840><c> without</c><00:04:43.120><c> actually</c><00:04:43.320><c> worrying</c>

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multiple jobs without actually worrying
 

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multiple jobs without actually worrying
about<00:04:44.240><c> how</c><00:04:44.560><c> how</c><00:04:44.680><c> you</c><00:04:44.759><c> would</c><00:04:44.960><c> go</c><00:04:45.080><c> about</c>

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about how how you would go about
 

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about how how you would go about
optimizing<00:04:45.919><c> those</c><00:04:46.120><c> things</c><00:04:46.800><c> and</c><00:04:47.199><c> the</c><00:04:47.320><c> really</c>

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optimizing those things and the really
 

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optimizing those things and the really
interesting<00:04:48.039><c> part</c><00:04:48.199><c> is</c><00:04:48.360><c> also</c><00:04:48.560><c> that</c><00:04:48.680><c> it</c><00:04:48.800><c> allows</c>

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interesting part is also that it allows
 

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interesting part is also that it allows
us<00:04:49.199><c> to</c><00:04:49.360><c> have</c><00:04:49.680><c> udfs</c><00:04:50.680><c> which</c><00:04:51.280><c> uh</c><00:04:51.479><c> actually</c>

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us to have udfs which uh actually
 

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us to have udfs which uh actually
encapsulate<00:04:52.479><c> a</c><00:04:52.560><c> lot</c><00:04:52.720><c> of</c><00:04:52.800><c> the</c><00:04:52.960><c> complex</c><00:04:53.360><c> logic</c>

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encapsulate a lot of the complex logic
 

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encapsulate a lot of the complex logic
that<00:04:54.160><c> you</c><00:04:54.280><c> may</c><00:04:54.440><c> not</c><00:04:54.560><c> be</c><00:04:54.720><c> able</c><00:04:54.880><c> to</c><00:04:55.120><c> write</c><00:04:55.320><c> in</c>

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that you may not be able to write in
 

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that you may not be able to write in
Hive<00:04:55.880><c> but</c><00:04:56.000><c> you</c><00:04:56.120><c> end</c><00:04:56.320><c> up</c><00:04:57.000><c> uh</c><00:04:57.440><c> like</c><00:04:57.560><c> let's</c><00:04:57.720><c> say</c>

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Hive but you end up uh like let's say
 

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Hive but you end up uh like let's say
you<00:04:57.919><c> wanted</c><00:04:58.160><c> to</c><00:04:58.320><c> apply</c><00:04:58.600><c> a</c><00:04:58.759><c> predictive</c><00:04:59.160><c> model</c>

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you wanted to apply a predictive model
 

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you wanted to apply a predictive model
uh<00:05:00.440><c> to</c><00:05:00.720><c> a</c><00:05:01.000><c> a</c><00:05:01.120><c> row</c><00:05:01.360><c> in</c><00:05:01.520><c> Hive</c><00:05:01.800><c> you</c><00:05:01.919><c> would</c><00:05:02.080><c> want</c><00:05:02.240><c> to</c>

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uh to a a row in Hive you would want to
 

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uh to a a row in Hive you would want to
have<00:05:02.720><c> that</c><00:05:02.840><c> as</c><00:05:02.960><c> a</c><00:05:03.039><c> UDF</c><00:05:03.600><c> that</c><00:05:03.759><c> can</c><00:05:04.360><c> maybe</c><00:05:04.600><c> look</c>

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have that as a UDF that can maybe look
 

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have that as a UDF that can maybe look
up<00:05:04.880><c> some</c><00:05:05.080><c> data</c><00:05:05.320><c> from</c><00:05:05.520><c> different</c><00:05:05.800><c> sources</c><00:05:06.360><c> do</c>

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up some data from different sources do
 

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up some data from different sources do
some<00:05:06.759><c> extraction</c><00:05:07.720><c> do</c><00:05:07.840><c> some</c><00:05:08.000><c> NLP</c><00:05:08.639><c> and</c><00:05:08.759><c> then</c>

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some extraction do some NLP and then
 

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some extraction do some NLP and then
apply<00:05:09.199><c> a</c><00:05:09.320><c> model</c><00:05:09.919><c> and</c><00:05:10.039><c> all</c><00:05:10.160><c> of</c><00:05:10.320><c> that</c><00:05:10.479><c> can</c><00:05:10.680><c> exist</c>

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apply a model and all of that can exist
 

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apply a model and all of that can exist
in<00:05:11.479><c> uh</c><00:05:11.639><c> a</c><00:05:11.759><c> UDF</c><00:05:12.320><c> so</c><00:05:13.039><c> I</c><00:05:13.120><c> think</c><00:05:13.280><c> that</c><00:05:13.600><c> combination</c>

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in uh a UDF so I think that combination
 

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in uh a UDF so I think that combination
of<00:05:14.479><c> the</c><00:05:14.639><c> Hadoop</c><00:05:15.000><c> stack</c><00:05:15.320><c> along</c><00:05:15.720><c> with</c><00:05:16.240><c> the</c>

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of the Hadoop stack along with the
 

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of the Hadoop stack along with the
ability<00:05:16.720><c> to</c><00:05:16.880><c> write</c><00:05:17.120><c> udfs</c><00:05:17.800><c> and</c><00:05:17.960><c> then</c><00:05:18.280><c> uh</c>

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ability to write udfs and then uh
 

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ability to write udfs and then uh
training<00:05:18.880><c> offline</c><00:05:19.240><c> models</c><00:05:19.639><c> using</c><00:05:20.520><c> uh</c><00:05:20.639><c> machine</c>

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training offline models using uh machine
 

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training offline models using uh machine
learning<00:05:21.199><c> tools</c><00:05:21.520><c> has</c><00:05:21.680><c> really</c><00:05:22.039><c> kind</c><00:05:22.160><c> of</c><00:05:22.360><c> helped</c>

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learning tools has really kind of helped
 

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learning tools has really kind of helped
us<00:05:22.800><c> in</c><00:05:23.319><c> uh</c><00:05:23.440><c> Skilling</c><00:05:23.919><c> up</c><00:05:24.680><c> cool</c><00:05:25.120><c> so</c><00:05:25.440><c> you</c><00:05:25.520><c> know</c><00:05:25.680><c> so</c>

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us in uh Skilling up cool so you know so
 

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us in uh Skilling up cool so you know so
when<00:05:26.000><c> you're</c><00:05:26.199><c> doing</c><00:05:26.479><c> it's</c><00:05:26.639><c> very</c><00:05:26.800><c> interesting</c>

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when you're doing it's very interesting
 

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when you're doing it's very interesting
because<00:05:27.240><c> you're</c><00:05:27.400><c> doing</c><00:05:27.639><c> you</c><00:05:27.720><c> know</c><00:05:27.880><c> using</c><00:05:28.240><c> both</c>

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because you're doing you know using both
 

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because you're doing you know using both
Python<00:05:28.800><c> and</c><00:05:28.960><c> weekend</c><00:05:29.880><c> uh</c><00:05:30.000><c> you</c><00:05:30.120><c> know</c><00:05:30.479><c> one</c><00:05:30.639><c> of</c><00:05:30.759><c> my</c>

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Python and weekend uh you know one of my
 

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Python and weekend uh you know one of my
huge<00:05:31.199><c> drives</c><00:05:31.600><c> in</c><00:05:31.720><c> the</c><00:05:31.800><c> scholar</c><00:05:32.160><c> Community</c><00:05:32.479><c> is</c>

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huge drives in the scholar Community is
 

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huge drives in the scholar Community is
to<00:05:32.680><c> kind</c><00:05:32.800><c> of</c><00:05:32.919><c> bring</c><00:05:33.240><c> scientific</c><00:05:33.639><c> comping</c><00:05:34.000><c> to</c>

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to kind of bring scientific comping to
 

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to kind of bring scientific comping to
the<00:05:34.240><c> jvm</c><00:05:34.960><c> right</c><00:05:35.199><c> right</c><00:05:35.360><c> and</c><00:05:35.479><c> so</c><00:05:35.680><c> there</c><00:05:35.800><c> is</c><00:05:35.919><c> a</c>

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the jvm right right and so there is a
 

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the jvm right right and so there is a
lot<00:05:36.120><c> of</c><00:05:36.240><c> libraries</c><00:05:36.639><c> which</c><00:05:36.800><c> exists</c><00:05:37.120><c> already</c>

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lot of libraries which exists already
 

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lot of libraries which exists already
but<00:05:37.800><c> there</c><00:05:37.919><c> are</c><00:05:38.039><c> some</c><00:05:38.240><c> gaps</c><00:05:38.520><c> compared</c><00:05:38.880><c> to</c>

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but there are some gaps compared to
 

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but there are some gaps compared to
Python<00:05:39.400><c> and</c><00:05:39.840><c> there</c><00:05:39.960><c> is</c><00:05:40.120><c> just</c><00:05:40.240><c> a</c><00:05:40.479><c> habit</c><00:05:40.840><c> of</c><00:05:41.400><c> a</c>

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Python and there is just a habit of a
 

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Python and there is just a habit of a
lot<00:05:41.680><c> of</c><00:05:41.840><c> data</c><00:05:42.080><c> scientists</c><00:05:42.440><c> to</c><00:05:42.560><c> use</c><00:05:42.800><c> Python</c>

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lot of data scientists to use Python
 

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lot of data scientists to use Python
because<00:05:43.360><c> that's</c><00:05:43.720><c> usually</c><00:05:44.000><c> the</c><00:05:44.120><c> first</c>

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because that's usually the first
 

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because that's usually the first
language<00:05:45.240><c> uh</c><00:05:45.360><c> they</c><00:05:45.479><c> pick</c><00:05:45.680><c> up</c><00:05:45.880><c> in</c><00:05:46.039><c> in</c><00:05:46.120><c> school</c>

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language uh they pick up in in school
 

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language uh they pick up in in school
it's<00:05:46.560><c> also</c><00:05:46.759><c> probably</c><00:05:47.000><c> the</c><00:05:47.120><c> most</c><00:05:47.400><c> developed</c><00:05:47.880><c> in</c>

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it's also probably the most developed in
 

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it's also probably the most developed in
terms<00:05:48.280><c> of</c><00:05:48.600><c> machine</c><00:05:48.880><c> learning</c><00:05:49.319><c> in</c><00:05:49.960><c> uh</c><00:05:50.199><c> because</c>

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terms of machine learning in uh because
 

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terms of machine learning in uh because
there<00:05:50.759><c> there</c><00:05:50.840><c> are</c><00:05:50.960><c> so</c><00:05:51.080><c> many</c><00:05:51.319><c> tools</c><00:05:51.800><c> that</c><00:05:51.919><c> are</c>

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there there are so many tools that are
 

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there there are so many tools that are
present<00:05:52.600><c> over</c><00:05:52.840><c> there</c><00:05:53.080><c> but</c><00:05:53.479><c> yeah</c><00:05:53.919><c> right</c><00:05:54.360><c> so</c><00:05:54.639><c> and</c>

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present over there but yeah right so and
 

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present over there but yeah right so and
so<00:05:55.240><c> that</c><00:05:55.440><c> you</c><00:05:55.560><c> know</c><00:05:55.720><c> that's</c><00:05:55.919><c> my</c><00:05:56.080><c> question</c><00:05:56.400><c> to</c>

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so that you know that's my question to
 

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so that you know that's my question to
you<00:05:56.759><c> is</c><00:05:56.919><c> kind</c><00:05:57.039><c> of</c><00:05:57.240><c> practicing</c><00:05:58.120><c> with</c><00:05:58.360><c> both</c><00:05:59.039><c> uh</c>

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you is kind of practicing with both uh
 

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you is kind of practicing with both uh
to<00:05:59.639><c> tool</c><00:05:59.840><c> sets</c><00:06:00.560><c> what</c><00:06:00.840><c> does</c><00:06:01.280><c> the</c><00:06:02.120><c> jvm</c><00:06:02.720><c> community</c>

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to tool sets what does the jvm community
 

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to tool sets what does the jvm community
need<00:06:03.400><c> to</c><00:06:03.639><c> do</c><00:06:04.520><c> to</c><00:06:05.120><c> kind</c><00:06:05.280><c> of</c><00:06:05.440><c> bring</c><00:06:05.759><c> the</c><00:06:06.000><c> python</c>

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need to do to kind of bring the python
 

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need to do to kind of bring the python
functionality<00:06:08.440><c> right</c><00:06:08.680><c> where</c><00:06:08.800><c> do</c><00:06:08.919><c> you</c><00:06:09.000><c> see</c><00:06:09.280><c> the</c>

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functionality right where do you see the
 

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functionality right where do you see the
most<00:06:10.680><c> gaps</c><00:06:11.120><c> and</c><00:06:11.440><c> where</c><00:06:11.759><c> the</c><00:06:11.919><c> community</c><00:06:12.319><c> can</c>

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most gaps and where the community can
 

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most gaps and where the community can
contribute<00:06:13.199><c> the</c><00:06:13.360><c> most</c><00:06:13.720><c> and</c><00:06:13.919><c> you</c><00:06:14.039><c> know</c><00:06:14.560><c> what</c>

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contribute the most and you know what
 

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contribute the most and you know what
should<00:06:15.199><c> happen</c><00:06:15.599><c> so</c><00:06:15.800><c> for</c><00:06:15.960><c> you</c><00:06:16.080><c> to</c><00:06:16.319><c> stay</c><00:06:16.639><c> within</c>

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should happen so for you to stay within
 

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should happen so for you to stay within
the<00:06:17.000><c> jvm</c><00:06:17.759><c> when</c><00:06:17.960><c> you</c><00:06:18.199><c> you</c><00:06:18.319><c> know</c><00:06:18.520><c> do</c><00:06:18.720><c> your</c>

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the jvm when you you know do your
 

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the jvm when you you know do your
experiments<00:06:19.919><c> right</c><00:06:20.440><c> uh</c><00:06:20.840><c> I</c><00:06:20.919><c> think</c><00:06:21.120><c> the</c><00:06:21.280><c> main</c>

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experiments right uh I think the main
 

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experiments right uh I think the main
thing<00:06:22.120><c> is</c><00:06:22.280><c> the</c><00:06:22.479><c> comprehensive</c><00:06:23.319><c> nature</c><00:06:23.880><c> of</c><00:06:24.199><c> the</c>

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thing is the comprehensive nature of the
 

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thing is the comprehensive nature of the
tools<00:06:24.680><c> that</c><00:06:24.800><c> are</c><00:06:25.039><c> present</c><00:06:25.840><c> in</c><00:06:26.199><c> Python</c><00:06:26.560><c> I</c><00:06:26.639><c> think</c>

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tools that are present in Python I think
 

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tools that are present in Python I think
a<00:06:26.919><c> lot</c><00:06:27.039><c> of</c><00:06:27.160><c> the</c><00:06:27.319><c> algorithms</c><00:06:27.840><c> that</c><00:06:27.960><c> are</c><00:06:28.120><c> present</c>

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a lot of the algorithms that are present
 

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a lot of the algorithms that are present
in<00:06:28.560><c> like</c><00:06:28.680><c> the</c><00:06:28.840><c> python</c><00:06:29.080><c> toolkits</c><00:06:29.919><c> are</c><00:06:30.120><c> not</c>

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in like the python toolkits are not
 

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in like the python toolkits are not
always<00:06:31.440><c> in</c><00:06:32.319><c> the</c><00:06:32.479><c> jvm</c><00:06:32.919><c> toolkits</c><00:06:33.440><c> and</c><00:06:33.960><c> maybe</c><00:06:34.520><c> if</c>

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always in the jvm toolkits and maybe if
 

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always in the jvm toolkits and maybe if
they<00:06:34.800><c> are</c><00:06:35.039><c> present</c><00:06:35.319><c> they're</c><00:06:35.520><c> not</c><00:06:35.680><c> implemented</c>

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they are present they're not implemented
 

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they are present they're not implemented
in<00:06:36.280><c> a</c><00:06:36.440><c> fashion</c><00:06:36.800><c> that</c><00:06:36.919><c> is</c><00:06:37.120><c> very</c><00:06:37.759><c> uh</c><00:06:37.919><c> efficient</c>

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in a fashion that is very uh efficient
 

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in a fashion that is very uh efficient
when<00:06:38.599><c> you</c><00:06:38.720><c> want</c><00:06:38.880><c> to</c><00:06:39.000><c> scale</c><00:06:39.319><c> up</c><00:06:39.960><c> so</c><00:06:40.479><c> uh</c><00:06:40.639><c> I</c><00:06:40.720><c> think</c>

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when you want to scale up so uh I think
 

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when you want to scale up so uh I think
a<00:06:41.120><c> lot</c><00:06:41.280><c> of</c><00:06:41.800><c> uh</c><00:06:42.520><c> uh</c><00:06:43.440><c> there</c><00:06:43.560><c> are</c><00:06:43.680><c> a</c><00:06:43.800><c> lot</c><00:06:43.960><c> of</c><00:06:44.160><c> small</c>

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a lot of uh uh there are a lot of small
 

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a lot of uh uh there are a lot of small
things<00:06:45.479><c> which</c><00:06:46.440><c> the</c><00:06:46.560><c> smaller</c><00:06:46.919><c> pieces</c><00:06:47.280><c> once</c>

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things which the smaller pieces once
 

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things which the smaller pieces once
they<00:06:47.639><c> are</c><00:06:47.840><c> there</c><00:06:48.039><c> and</c><00:06:48.199><c> they</c><00:06:48.400><c> kind</c><00:06:48.520><c> of</c><00:06:48.680><c> build</c><00:06:48.880><c> up</c>

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they are there and they kind of build up
 

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they are there and they kind of build up
like<00:06:49.199><c> Lego</c><00:06:49.440><c> bricks</c><00:06:50.199><c> that's</c><00:06:50.360><c> when</c><00:06:50.919><c> maybe</c><00:06:51.160><c> the</c>

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like Lego bricks that's when maybe the
 

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like Lego bricks that's when maybe the
jvm<00:06:52.039><c> uh</c><00:06:52.199><c> Community</c><00:06:52.639><c> would</c><00:06:52.840><c> be</c><00:06:53.400><c> at</c><00:06:53.639><c> that</c><00:06:53.800><c> same</c>

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jvm uh Community would be at that same
 

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jvm uh Community would be at that same
scale<00:06:54.680><c> uh</c><00:06:54.840><c> I'm</c><00:06:55.039><c> looking</c><00:06:55.280><c> forward</c><00:06:55.599><c> to</c><00:06:56.120><c> using</c>

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scale uh I'm looking forward to using
 

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scale uh I'm looking forward to using
spark<00:06:56.879><c> MLB</c><00:06:57.440><c> I</c><00:06:57.560><c> haven't</c><00:06:57.759><c> used</c><00:06:57.960><c> it</c><00:06:58.120><c> personally</c>

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spark MLB I haven't used it personally
 

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spark MLB I haven't used it personally
yet<00:06:58.800><c> but</c><00:06:59.199><c> that's</c><00:06:59.560><c> seems</c><00:06:59.720><c> to</c><00:06:59.800><c> be</c><00:06:59.879><c> a</c><00:07:00.000><c> promising</c>

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yet but that's seems to be a promising
 

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yet but that's seems to be a promising
area<00:07:01.160><c> which</c><00:07:01.400><c> could</c><00:07:01.639><c> combine</c><00:07:02.120><c> like</c><00:07:02.360><c> the</c>

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area which could combine like the
 

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area which could combine like the
advantages<00:07:03.000><c> of</c><00:07:03.120><c> streaming</c><00:07:03.560><c> data</c><00:07:03.840><c> along</c><00:07:04.160><c> with</c>

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advantages of streaming data along with
 

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advantages of streaming data along with
uh<00:07:05.240><c> some</c><00:07:05.400><c> of</c><00:07:05.479><c> the</c><00:07:05.599><c> machine</c><00:07:05.840><c> learning</c>

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uh some of the machine learning
 

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uh some of the machine learning
libraries<00:07:06.639><c> so</c><00:07:07.360><c> uh</c><00:07:07.680><c> I'm</c><00:07:07.759><c> sure</c><00:07:08.000><c> like</c><00:07:08.160><c> there</c><00:07:08.240><c> are</c>

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libraries so uh I'm sure like there are
 

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libraries so uh I'm sure like there are
a<00:07:08.479><c> lot</c><00:07:08.639><c> of</c><00:07:08.919><c> avenues</c><00:07:09.560><c> for</c><00:07:10.560><c> uh</c><00:07:10.919><c> implementing</c><00:07:11.759><c> a</c><00:07:12.360><c> a</c>

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a lot of avenues for uh implementing a a
 

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a lot of avenues for uh implementing a a
lot<00:07:12.599><c> of</c><00:07:12.720><c> the</c><00:07:12.840><c> things</c><00:07:13.000><c> that</c><00:07:13.160><c> are</c><00:07:13.520><c> existing</c><00:07:13.840><c> in</c>

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lot of the things that are existing in
 

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lot of the things that are existing in
the<00:07:14.120><c> python</c><00:07:14.440><c> toolkits</c><00:07:15.120><c> in</c><00:07:15.360><c> into</c><00:07:15.800><c> the</c><00:07:16.160><c> jvm</c>

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the python toolkits in into the jvm
 

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the python toolkits in into the jvm
space<00:07:17.080><c> yeah</c><00:07:17.199><c> and</c><00:07:17.360><c> Spark</c><00:07:17.720><c> also</c><00:07:17.919><c> will</c><00:07:18.080><c> run</c><00:07:18.319><c> Hive</c>

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space yeah and Spark also will run Hive
 

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space yeah and Spark also will run Hive
right<00:07:18.879><c> because</c><00:07:19.120><c> you</c><00:07:19.240><c> know</c><00:07:19.919><c> are</c><00:07:20.039><c> committed</c><00:07:20.400><c> to</c>

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right because you know are committed to
 

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right because you know are committed to
run<00:07:20.960><c> everything</c><00:07:21.560><c> on</c><00:07:21.759><c> spark</c><00:07:22.560><c> so</c><00:07:22.759><c> you</c><00:07:22.879><c> know</c>

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run everything on spark so you know
 

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run everything on spark so you know
there<00:07:23.080><c> is</c><00:07:23.240><c> spark</c><00:07:23.479><c> cql</c><00:07:23.879><c> but</c><00:07:24.000><c> also</c><00:07:24.479><c> Hive</c><00:07:24.800><c> itself</c>

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there is spark cql but also Hive itself
 

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there is spark cql but also Hive itself
will<00:07:25.319><c> will</c><00:07:25.520><c> have</c><00:07:25.720><c> spark</c><00:07:26.479><c> back</c><00:07:26.639><c> end</c><00:07:26.879><c> right</c><00:07:27.000><c> so</c>

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will will have spark back end right so
 

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will will have spark back end right so
which<00:07:27.240><c> is</c><00:07:27.400><c> which</c><00:07:27.479><c> is</c><00:07:27.599><c> really</c><00:07:27.840><c> exciting</c><00:07:28.520><c> yes</c>

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which is which is really exciting yes
 

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which is which is really exciting yes
yeah<00:07:29.319><c> um</c><00:07:29.599><c> interesting</c><00:07:30.000><c> interesting</c><00:07:30.680><c> so</c><00:07:31.080><c> uh</c><00:07:31.160><c> so</c>

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yeah um interesting interesting so uh so
 

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yeah um interesting interesting so uh so
you<00:07:31.360><c> mentioned</c><00:07:31.680><c> NLP</c><00:07:32.039><c> can</c><00:07:32.160><c> you</c><00:07:32.360><c> talk</c><00:07:32.479><c> a</c><00:07:32.560><c> little</c>

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you mentioned NLP can you talk a little
 

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you mentioned NLP can you talk a little
bit<00:07:32.960><c> about</c><00:07:33.319><c> what</c><00:07:33.479><c> kind</c><00:07:33.599><c> of</c><00:07:33.720><c> NLP</c><00:07:34.560><c> uh</c><00:07:35.120><c> are</c><00:07:35.240><c> you</c>

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bit about what kind of NLP uh are you
 

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bit about what kind of NLP uh are you
guys<00:07:35.560><c> doing</c><00:07:35.919><c> what</c><00:07:36.039><c> kind</c><00:07:36.160><c> of</c><00:07:36.240><c> tools</c><00:07:36.520><c> are</c><00:07:36.639><c> you</c>

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guys doing what kind of tools are you
 

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guys doing what kind of tools are you
using<00:07:37.319><c> and</c><00:07:37.639><c> what</c><00:07:37.879><c> works</c><00:07:38.199><c> in</c><00:07:38.400><c> practice</c><00:07:39.240><c> Yeah</c><00:07:39.520><c> so</c>

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using and what works in practice Yeah so
 

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using and what works in practice Yeah so
uh<00:07:40.160><c> I</c><00:07:40.280><c> think</c><00:07:40.440><c> one</c><00:07:40.560><c> of</c><00:07:40.680><c> the</c><00:07:40.840><c> biggest</c><00:07:41.479><c> uh</c><00:07:41.599><c> things</c>

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uh I think one of the biggest uh things
 

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uh I think one of the biggest uh things
that<00:07:42.000><c> we</c><00:07:42.240><c> found</c><00:07:42.560><c> in</c><00:07:42.720><c> our</c><00:07:43.400><c> uh</c><00:07:43.919><c> experiments</c><00:07:44.440><c> is</c>

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that we found in our uh experiments is
 

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that we found in our uh experiments is
that<00:07:45.599><c> if</c><00:07:45.720><c> you</c><00:07:45.879><c> try</c><00:07:46.120><c> to</c><00:07:46.280><c> use</c><00:07:46.560><c> like</c><00:07:46.800><c> s</c><00:07:47.120><c> very</c>

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that if you try to use like s very
 

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that if you try to use like s very
sophisticated<00:07:48.120><c> NLP</c><00:07:48.639><c> techniques</c><00:07:49.120><c> like</c><00:07:49.280><c> let's</c>

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sophisticated NLP techniques like let's
 

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sophisticated NLP techniques like let's
say<00:07:49.560><c> you</c><00:07:49.639><c> wanted</c><00:07:49.879><c> to</c><00:07:49.960><c> use</c><00:07:50.159><c> Stanford</c><00:07:50.560><c> named</c>

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say you wanted to use Stanford named
 

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say you wanted to use Stanford named
entity<00:07:51.159><c> recognition</c><00:07:52.159><c> for</c><00:07:52.720><c> passing</c><00:07:53.080><c> out</c><00:07:53.479><c> uh</c>

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entity recognition for passing out uh
 

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entity recognition for passing out uh
entities<00:07:54.120><c> from</c><00:07:54.280><c> your</c><00:07:54.479><c> text</c><00:07:55.440><c> uh</c><00:07:55.720><c> the</c><00:07:56.440><c> what</c>

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entities from your text uh the what
 

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entities from your text uh the what
happens<00:07:56.960><c> is</c><00:07:57.159><c> that</c><00:07:57.520><c> sure</c><00:07:57.800><c> you</c><00:07:57.879><c> could</c><00:07:58.039><c> run</c><00:07:58.280><c> that</c>

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happens is that sure you could run that
 

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happens is that sure you could run that
on<00:07:58.520><c> a</c><00:07:58.680><c> small</c><00:07:58.960><c> scale</c><00:07:59.280><c> but</c><00:07:59.560><c> you</c><00:07:59.840><c> when</c><00:07:59.919><c> you</c><00:08:00.039><c> want</c>

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on a small scale but you when you want
 

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on a small scale but you when you want
to<00:08:00.240><c> run</c><00:08:00.479><c> something</c><00:08:00.879><c> on</c><00:08:01.840><c> 700</c><00:08:02.440><c> million</c><00:08:02.800><c> messages</c>

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to run something on 700 million messages
 

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to run something on 700 million messages
per<00:08:03.440><c> day</c><00:08:03.960><c> it's</c><00:08:04.120><c> not</c><00:08:04.240><c> going</c><00:08:04.360><c> to</c><00:08:04.440><c> scale</c><00:08:04.759><c> very</c>

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per day it's not going to scale very
 

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per day it's not going to scale very
well<00:08:05.800><c> uh</c><00:08:06.039><c> so</c><00:08:06.680><c> uh</c><00:08:06.879><c> one</c><00:08:07.000><c> of</c><00:08:07.159><c> the</c><00:08:07.280><c> approaches</c><00:08:07.720><c> that</c>

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well uh so uh one of the approaches that
 

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well uh so uh one of the approaches that
we<00:08:08.080><c> took</c><00:08:08.440><c> was</c><00:08:08.720><c> that</c><00:08:09.120><c> we</c><00:08:09.520><c> actually</c><00:08:10.199><c> used</c><00:08:10.879><c> uh</c>

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we took was that we actually used uh
 

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we took was that we actually used uh
open<00:08:11.440><c> data</c><00:08:11.759><c> sets</c><00:08:12.120><c> such</c><00:08:12.319><c> as</c><00:08:12.680><c> uh</c><00:08:12.800><c> Freebase</c>

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open data sets such as uh Freebase
 

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open data sets such as uh Freebase
Wikipedia<00:08:14.440><c> and</c><00:08:14.560><c> all</c><00:08:14.680><c> of</c><00:08:14.840><c> these</c><00:08:15.000><c> knowledge</c>

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Wikipedia and all of these knowledge
 

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Wikipedia and all of these knowledge
grafts<00:08:16.400><c> and</c><00:08:16.680><c> using</c><00:08:17.039><c> those</c><00:08:17.240><c> knowledge</c><00:08:17.599><c> crafts</c>

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grafts and using those knowledge crafts
 

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grafts and using those knowledge crafts
we<00:08:18.120><c> try</c><00:08:18.319><c> to</c><00:08:18.440><c> create</c><00:08:18.840><c> dictionaries</c><00:08:19.840><c> that</c><00:08:20.080><c> are</c>

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we try to create dictionaries that are
 

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we try to create dictionaries that are
uh<00:08:21.199><c> and</c><00:08:21.479><c> that</c><00:08:21.560><c> are</c><00:08:21.759><c> pre-trained</c><00:08:22.319><c> and</c><00:08:22.919><c> pre</c>

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uh and that are pre-trained and pre
 

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uh and that are pre-trained and pre
pre-fabricated<00:08:24.680><c> so</c><00:08:24.840><c> that</c><00:08:25.000><c> they</c><00:08:25.120><c> are</c><00:08:26.120><c> they</c>

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pre-fabricated so that they are they
 

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pre-fabricated so that they are they
already<00:08:26.560><c> encapsulate</c><00:08:27.199><c> all</c><00:08:27.360><c> the</c><00:08:27.560><c> entities</c>

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already encapsulate all the entities
 

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already encapsulate all the entities
that<00:08:28.199><c> are</c><00:08:28.400><c> relevant</c><00:08:29.159><c> and</c><00:08:29.879><c> the</c><00:08:30.039><c> advantage</c><00:08:30.400><c> of</c>

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that are relevant and the advantage of
 

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that are relevant and the advantage of
doing<00:08:30.800><c> that</c><00:08:30.919><c> is</c><00:08:31.080><c> also</c><00:08:31.440><c> that</c><00:08:31.759><c> when</c><00:08:31.960><c> new</c>

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doing that is also that when new
 

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doing that is also that when new
entities<00:08:32.560><c> start</c><00:08:32.760><c> coming</c><00:08:32.959><c> up</c><00:08:33.360><c> let's</c><00:08:33.560><c> say</c>

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entities start coming up let's say
 

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entities start coming up let's say
there's<00:08:33.880><c> a</c><00:08:34.279><c> completely</c><00:08:34.719><c> new</c><00:08:34.880><c> phenomenon</c><00:08:35.320><c> on</c>

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there's a completely new phenomenon on
 

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there's a completely new phenomenon on
social<00:08:35.800><c> media</c><00:08:36.120><c> today</c><00:08:36.880><c> that</c><00:08:37.360><c> we</c><00:08:37.519><c> want</c><00:08:37.680><c> to</c>

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social media today that we want to
 

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social media today that we want to
incorporate<00:08:38.200><c> in</c><00:08:38.320><c> our</c><00:08:38.440><c> dictionaries</c><00:08:38.919><c> we</c><00:08:39.039><c> are</c>

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incorporate in our dictionaries we are
 

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incorporate in our dictionaries we are
able<00:08:39.320><c> to</c><00:08:39.440><c> update</c><00:08:39.680><c> our</c><00:08:39.839><c> dictionaries</c><00:08:40.360><c> very</c>

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able to update our dictionaries very
 

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able to update our dictionaries very
easily<00:08:41.360><c> so</c><00:08:41.919><c> rather</c><00:08:42.159><c> than</c><00:08:42.399><c> trying</c><00:08:42.719><c> to</c><00:08:43.120><c> extract</c>

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easily so rather than trying to extract
 

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easily so rather than trying to extract
uh<00:08:44.560><c> semantic</c><00:08:45.320><c> meaning</c><00:08:46.320><c> in</c><00:08:46.680><c> uh</c><00:08:47.640><c> of</c><00:08:47.760><c> course</c>

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uh semantic meaning in uh of course
 

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uh semantic meaning in uh of course
sometimes<00:08:48.320><c> that</c><00:08:48.440><c> is</c><00:08:48.600><c> very</c><00:08:48.880><c> useful</c><00:08:49.399><c> but</c><00:08:49.800><c> in</c>

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sometimes that is very useful but in
 

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sometimes that is very useful but in
some<00:08:50.320><c> cases</c><00:08:51.120><c> what</c><00:08:51.399><c> happens</c><00:08:51.720><c> is</c><00:08:51.920><c> just</c><00:08:52.040><c> using</c><00:08:52.360><c> a</c>

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some cases what happens is just using a
 

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some cases what happens is just using a
simple<00:08:52.800><c> dictionary</c><00:08:53.320><c> and</c><00:08:53.560><c> trying</c><00:08:53.760><c> to</c><00:08:53.920><c> have</c>

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simple dictionary and trying to have
 

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simple dictionary and trying to have
those<00:08:54.320><c> dictionary</c><00:08:54.760><c> terms</c><00:08:55.040><c> mapping</c><00:08:55.320><c> to</c>

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those dictionary terms mapping to
 

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those dictionary terms mapping to
certain<00:08:55.720><c> entities</c><00:08:56.080><c> in</c><00:08:56.240><c> your</c><00:08:56.399><c> topical</c>

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certain entities in your topical
 

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certain entities in your topical
ontology<00:08:57.920><c> are</c><00:08:58.519><c> uh</c><00:08:59.200><c> is</c><00:08:59.480><c> pretty</c><00:08:59.760><c> effective</c><00:09:00.320><c> in</c>

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ontology are uh is pretty effective in
 

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ontology are uh is pretty effective in
uh<00:09:01.399><c> going</c><00:09:01.880><c> in</c><00:09:02.240><c> going</c><00:09:02.480><c> maybe</c><00:09:02.720><c> 90%</c><00:09:03.240><c> of</c><00:09:03.360><c> the</c><00:09:03.480><c> way</c>

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uh going in going maybe 90% of the way
 

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uh going in going maybe 90% of the way
and<00:09:04.240><c> sure</c><00:09:04.519><c> at</c><00:09:04.600><c> the</c><00:09:04.720><c> end</c><00:09:04.839><c> of</c><00:09:04.959><c> the</c><00:09:05.079><c> day</c><00:09:05.240><c> if</c><00:09:05.320><c> you</c>

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and sure at the end of the day if you
 

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and sure at the end of the day if you
really<00:09:05.720><c> want</c><00:09:05.920><c> to</c><00:09:06.040><c> be</c><00:09:06.279><c> like</c><00:09:06.640><c> very</c><00:09:06.880><c> highly</c>

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really want to be like very highly
 

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really want to be like very highly
accurate<00:09:07.560><c> you</c><00:09:07.720><c> have</c><00:09:07.839><c> to</c><00:09:08.640><c> uh</c><00:09:09.200><c> get</c><00:09:09.360><c> more</c>

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accurate you have to uh get more
 

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accurate you have to uh get more
sophisticated<00:09:10.279><c> in</c><00:09:10.440><c> terms</c><00:09:10.680><c> of</c><00:09:10.880><c> the</c><00:09:11.040><c> NLP</c>

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sophisticated in terms of the NLP
 

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sophisticated in terms of the NLP
techniques<00:09:11.959><c> but</c><00:09:12.440><c> even</c><00:09:12.880><c> doing</c><00:09:13.240><c> Simple</c>

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techniques but even doing Simple
 

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techniques but even doing Simple
techniques<00:09:14.000><c> at</c><00:09:14.200><c> scale</c><00:09:15.000><c> uh</c><00:09:15.120><c> can</c><00:09:15.519><c> sometimes</c><00:09:15.720><c> get</c>

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techniques at scale uh can sometimes get
 

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techniques at scale uh can sometimes get
you<00:09:15.959><c> a</c><00:09:16.079><c> long</c><00:09:16.279><c> way</c><00:09:16.480><c> if</c><00:09:16.560><c> you're</c><00:09:16.720><c> using</c><00:09:17.000><c> the</c>

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you a long way if you're using the
 

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you a long way if you're using the
correct<00:09:17.399><c> kind</c><00:09:17.560><c> of</c><00:09:17.720><c> data</c><00:09:17.959><c> sets</c><00:09:18.240><c> and</c><00:09:18.360><c> the</c><00:09:18.519><c> data</c>

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correct kind of data sets and the data
 

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correct kind of data sets and the data
sources<00:09:19.440><c> interesting</c><00:09:20.079><c> so</c><00:09:20.399><c> so</c><00:09:20.600><c> basically</c><00:09:20.920><c> you</c>

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sources interesting so so basically you
 

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sources interesting so so basically you
do<00:09:21.360><c> your</c><00:09:21.600><c> most</c><00:09:21.880><c> of</c><00:09:22.000><c> yourp</c><00:09:22.720><c> offline</c><00:09:23.480><c> and</c><00:09:23.680><c> and</c>

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do your most of yourp offline and and
 

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do your most of yourp offline and and
you<00:09:24.120><c> when</c><00:09:24.200><c> you</c><00:09:24.279><c> do</c><00:09:24.440><c> training</c><00:09:24.920><c> so</c><00:09:25.560><c> uh</c><00:09:25.720><c> when</c><00:09:25.880><c> you</c>

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you when you do training so uh when you
 

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you when you do training so uh when you
do<00:09:26.320><c> that</c><00:09:27.160><c> can</c><00:09:27.279><c> you</c><00:09:27.480><c> describe</c><00:09:27.920><c> what</c><00:09:28.120><c> kind</c><00:09:28.279><c> of</c>

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do that can you describe what kind of
 

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do that can you describe what kind of
Stack<00:09:28.720><c> are</c><00:09:28.800><c> you</c><00:09:28.920><c> using</c><00:09:29.720><c> sure</c><00:09:30.399><c> uh</c><00:09:30.600><c> so</c><00:09:30.959><c> basically</c>

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Stack are you using sure uh so basically
 

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Stack are you using sure uh so basically
we<00:09:31.680><c> use</c><00:09:32.160><c> uh</c><00:09:32.279><c> Freebase</c><00:09:32.880><c> as</c><00:09:33.040><c> one</c><00:09:33.160><c> of</c><00:09:33.279><c> our</c><00:09:33.600><c> primary</c>

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we use uh Freebase as one of our primary
 

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we use uh Freebase as one of our primary
uh<00:09:34.360><c> data</c><00:09:34.600><c> sources</c><00:09:35.399><c> so</c><00:09:35.959><c> again</c><00:09:36.160><c> we</c><00:09:36.320><c> use</c><00:09:36.600><c> Hive</c><00:09:36.880><c> to</c>

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uh data sources so again we use Hive to
 

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uh data sources so again we use Hive to
kind<00:09:37.160><c> of</c><00:09:37.440><c> extract</c><00:09:37.959><c> all</c><00:09:38.160><c> these</c><00:09:38.560><c> uh</c><00:09:38.800><c> entities</c><00:09:39.800><c> uh</c>

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kind of extract all these uh entities uh
 

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kind of extract all these uh entities uh
we<00:09:40.079><c> have</c><00:09:40.240><c> a</c><00:09:40.360><c> bunch</c><00:09:40.560><c> of</c><00:09:40.959><c> tools</c><00:09:41.399><c> that</c><00:09:41.519><c> we</c><00:09:41.640><c> have</c>

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we have a bunch of tools that we have
 

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we have a bunch of tools that we have
that<00:09:43.200><c> in</c><00:09:43.320><c> the</c><00:09:43.440><c> udfs</c><00:09:44.240><c> that</c><00:09:44.360><c> do</c><00:09:44.519><c> things</c><00:09:44.680><c> like</c>

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that in the udfs that do things like
 

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that in the udfs that do things like
tokenization<00:09:45.720><c> stemming</c><00:09:46.720><c> and</c><00:09:46.880><c> maybe</c><00:09:47.200><c> a</c><00:09:47.320><c> lot</c><00:09:47.480><c> of</c>

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tokenization stemming and maybe a lot of
 

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tokenization stemming and maybe a lot of
other<00:09:47.880><c> Transformations</c><00:09:48.680><c> that</c><00:09:48.959><c> so</c><00:09:49.079><c> it's</c><00:09:49.160><c> on</c>

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other Transformations that so it's on
 

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other Transformations that so it's on
jvm<00:09:49.760><c> as</c><00:09:49.959><c> as</c><00:09:50.079><c> udfs</c><00:09:50.640><c> in</c><00:09:50.800><c> in</c><00:09:51.120><c> yeah</c><00:09:51.200><c> it's</c><00:09:51.320><c> all</c><00:09:51.480><c> jvm</c>

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jvm as as udfs in in yeah it's all jvm
 

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jvm as as udfs in in yeah it's all jvm
yes<00:09:52.160><c> it's</c><00:09:52.279><c> all</c><00:09:52.399><c> in</c><00:09:52.519><c> jvm</c><00:09:53.200><c> and</c><00:09:53.480><c> uh</c><00:09:53.600><c> some</c><00:09:53.720><c> of</c><00:09:53.920><c> those</c>

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yes it's all in jvm and uh some of those
 

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yes it's all in jvm and uh some of those
udfs<00:09:54.839><c> are</c><00:09:55.000><c> also</c><00:09:55.440><c> open-</c><00:09:55.760><c> sourced</c><00:09:56.079><c> in</c><00:09:56.440><c> uh</c><00:09:56.560><c> the</c>

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udfs are also open- sourced in uh the
 

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udfs are also open- sourced in uh the
project<00:09:56.959><c> called</c><00:09:57.120><c> Brick</c><00:09:57.440><c> House</c><00:09:57.880><c> okay</c><00:09:58.240><c> so</c><00:09:58.880><c> uh</c>

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project called Brick House okay so uh
 

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project called Brick House okay so uh
it's<00:09:59.600><c> actually</c><00:09:59.839><c> free</c><00:10:00.079><c> to</c><00:10:00.240><c> use</c><00:10:00.440><c> for</c><00:10:01.079><c> a</c><00:10:01.200><c> lot</c><00:10:01.360><c> of</c>

00:10:01.509 --> 00:10:01.519 align:start position:0%
it's actually free to use for a lot of
 

00:10:01.519 --> 00:10:05.910 align:start position:0%
it's actually free to use for a lot of
people<00:10:01.880><c> so</c><00:10:02.640><c> uh</c><00:10:03.600><c> using</c><00:10:04.600><c> so</c><00:10:05.079><c> they</c><00:10:05.160><c> have</c><00:10:05.320><c> UDF</c><00:10:05.760><c> such</c>

00:10:05.910 --> 00:10:05.920 align:start position:0%
people so uh using so they have UDF such
 

00:10:05.920 --> 00:10:08.269 align:start position:0%
people so uh using so they have UDF such
as<00:10:06.560><c> uh</c><00:10:06.680><c> where</c><00:10:06.880><c> you</c><00:10:06.959><c> can</c><00:10:07.160><c> pass</c><00:10:07.399><c> in</c><00:10:07.519><c> a</c><00:10:07.600><c> dictionary</c>

00:10:08.269 --> 00:10:08.279 align:start position:0%
as uh where you can pass in a dictionary
 

00:10:08.279 --> 00:10:10.110 align:start position:0%
as uh where you can pass in a dictionary
and<00:10:08.440><c> you</c><00:10:08.560><c> can</c><00:10:08.720><c> pass</c><00:10:08.880><c> in</c><00:10:09.000><c> a</c><00:10:09.079><c> piece</c><00:10:09.240><c> of</c><00:10:09.440><c> text</c><00:10:10.040><c> and</c>

00:10:10.110 --> 00:10:10.120 align:start position:0%
and you can pass in a piece of text and
 

00:10:10.120 --> 00:10:12.550 align:start position:0%
and you can pass in a piece of text and
then<00:10:10.279><c> the</c><00:10:10.399><c> text</c><00:10:10.720><c> would</c><00:10:11.160><c> efficiently</c><00:10:12.160><c> extract</c>

00:10:12.550 --> 00:10:12.560 align:start position:0%
then the text would efficiently extract
 

00:10:12.560 --> 00:10:13.949 align:start position:0%
then the text would efficiently extract
the<00:10:12.640><c> certain</c><00:10:12.920><c> entities</c><00:10:13.440><c> out</c><00:10:13.560><c> of</c><00:10:13.720><c> the</c>

00:10:13.949 --> 00:10:13.959 align:start position:0%
the certain entities out of the
 

00:10:13.959 --> 00:10:17.069 align:start position:0%
the certain entities out of the
dictionary<00:10:14.440><c> and</c><00:10:14.560><c> so</c><00:10:14.680><c> on</c><00:10:15.200><c> so</c><00:10:15.800><c> uh</c><00:10:16.519><c> uh</c><00:10:16.720><c> we</c><00:10:16.839><c> have</c><00:10:17.000><c> a</c>

00:10:17.069 --> 00:10:17.079 align:start position:0%
dictionary and so on so uh uh we have a
 

00:10:17.079 --> 00:10:19.509 align:start position:0%
dictionary and so on so uh uh we have a
bunch<00:10:17.279><c> of</c><00:10:17.399><c> these</c><00:10:17.560><c> udfs</c><00:10:18.160><c> which</c><00:10:18.279><c> we</c><00:10:18.480><c> then</c><00:10:19.000><c> use</c><00:10:19.320><c> to</c>

00:10:19.509 --> 00:10:19.519 align:start position:0%
bunch of these udfs which we then use to
 

00:10:19.519 --> 00:10:22.150 align:start position:0%
bunch of these udfs which we then use to
kind<00:10:19.680><c> of</c><00:10:20.480><c> uh</c><00:10:21.040><c> uh</c><00:10:21.240><c> extract</c><00:10:21.640><c> entities</c><00:10:22.000><c> from</c>

00:10:22.150 --> 00:10:22.160 align:start position:0%
kind of uh uh extract entities from
 

00:10:22.160 --> 00:10:23.829 align:start position:0%
kind of uh uh extract entities from
Freebase<00:10:22.880><c> we</c><00:10:23.000><c> use</c><00:10:23.200><c> certain</c><00:10:23.480><c> ranking</c>

00:10:23.829 --> 00:10:23.839 align:start position:0%
Freebase we use certain ranking
 

00:10:23.839 --> 00:10:25.670 align:start position:0%
Freebase we use certain ranking
techniques<00:10:24.240><c> and</c><00:10:24.399><c> relevance</c><00:10:24.839><c> techniques</c><00:10:25.480><c> to</c>

00:10:25.670 --> 00:10:25.680 align:start position:0%
techniques and relevance techniques to
 

00:10:25.680 --> 00:10:27.790 align:start position:0%
techniques and relevance techniques to
say<00:10:25.920><c> that</c><00:10:26.440><c> uh</c><00:10:26.760><c> these</c><00:10:26.920><c> are</c><00:10:27.040><c> the</c><00:10:27.160><c> most</c><00:10:27.399><c> important</c>

00:10:27.790 --> 00:10:27.800 align:start position:0%
say that uh these are the most important
 

00:10:27.800 --> 00:10:29.470 align:start position:0%
say that uh these are the most important
entities<00:10:28.519><c> because</c><00:10:28.880><c> there's</c><00:10:29.040><c> a</c><00:10:29.120><c> lot</c><00:10:29.240><c> of</c><00:10:29.399><c> of</c>

00:10:29.470 --> 00:10:29.480 align:start position:0%
entities because there's a lot of of
 

00:10:29.480 --> 00:10:31.110 align:start position:0%
entities because there's a lot of of
noise<00:10:29.640><c> in</c><00:10:29.760><c> free</c><00:10:29.959><c> Bay</c><00:10:30.240><c> as</c><00:10:30.320><c> well</c><00:10:30.519><c> so</c><00:10:30.640><c> you</c><00:10:30.760><c> would</c>

00:10:31.110 --> 00:10:31.120 align:start position:0%
noise in free Bay as well so you would
 

00:10:31.120 --> 00:10:32.750 align:start position:0%
noise in free Bay as well so you would
probably<00:10:31.399><c> pick</c><00:10:31.600><c> the</c><00:10:31.720><c> cream</c><00:10:32.120><c> do</c><00:10:32.279><c> some</c><00:10:32.440><c> sort</c><00:10:32.600><c> of</c>

00:10:32.750 --> 00:10:32.760 align:start position:0%
probably pick the cream do some sort of
 

00:10:32.760 --> 00:10:35.030 align:start position:0%
probably pick the cream do some sort of
ranking<00:10:33.399><c> pick</c><00:10:33.560><c> the</c><00:10:33.680><c> cream</c><00:10:34.000><c> maybe</c><00:10:34.399><c> top</c><00:10:34.800><c> half</c><00:10:34.920><c> a</c>

00:10:35.030 --> 00:10:35.040 align:start position:0%
ranking pick the cream maybe top half a
 

00:10:35.040 --> 00:10:37.350 align:start position:0%
ranking pick the cream maybe top half a
million<00:10:35.519><c> keywords</c><00:10:36.320><c> and</c><00:10:36.440><c> then</c><00:10:36.800><c> map</c><00:10:37.040><c> those</c><00:10:37.200><c> half</c>

00:10:37.350 --> 00:10:37.360 align:start position:0%
million keywords and then map those half
 

00:10:37.360 --> 00:10:39.509 align:start position:0%
million keywords and then map those half
a<00:10:37.480><c> million</c><00:10:37.720><c> keywords</c><00:10:38.120><c> into</c><00:10:38.360><c> 10,000</c><00:10:38.880><c> topics</c>

00:10:39.509 --> 00:10:39.519 align:start position:0%
a million keywords into 10,000 topics
 

00:10:39.519 --> 00:10:40.910 align:start position:0%
a million keywords into 10,000 topics
because<00:10:39.800><c> multiple</c><00:10:40.120><c> keywords</c><00:10:40.440><c> would</c><00:10:40.560><c> map</c><00:10:40.800><c> to</c>

00:10:40.910 --> 00:10:40.920 align:start position:0%
because multiple keywords would map to
 

00:10:40.920 --> 00:10:43.590 align:start position:0%
because multiple keywords would map to
the<00:10:41.040><c> same</c><00:10:41.279><c> topic</c><00:10:41.600><c> and</c><00:10:41.720><c> so</c><00:10:41.880><c> on</c><00:10:42.399><c> so</c><00:10:43.040><c> uh</c><00:10:43.320><c> mainly</c>

00:10:43.590 --> 00:10:43.600 align:start position:0%
the same topic and so on so uh mainly
 

00:10:43.600 --> 00:10:45.150 align:start position:0%
the same topic and so on so uh mainly
the<00:10:43.720><c> stack</c><00:10:44.000><c> that</c><00:10:44.120><c> we</c><00:10:44.240><c> use</c><00:10:44.399><c> is</c><00:10:44.560><c> still</c><00:10:44.800><c> hi</c><00:10:45.040><c> in</c>

00:10:45.150 --> 00:10:45.160 align:start position:0%
the stack that we use is still hi in
 

00:10:45.160 --> 00:10:48.069 align:start position:0%
the stack that we use is still hi in
udfs<00:10:45.800><c> for</c><00:10:46.079><c> building</c><00:10:46.440><c> these</c><00:10:46.600><c> models</c><00:10:47.560><c> uh</c><00:10:47.800><c> with</c><00:10:47.959><c> a</c>

00:10:48.069 --> 00:10:48.079 align:start position:0%
udfs for building these models uh with a
 

00:10:48.079 --> 00:10:50.550 align:start position:0%
udfs for building these models uh with a
little<00:10:48.279><c> bit</c><00:10:48.480><c> of</c><00:10:49.040><c> uh</c><00:10:49.560><c> python</c><00:10:49.920><c> to</c><00:10:50.079><c> just</c><00:10:50.279><c> kind</c><00:10:50.399><c> of</c>

00:10:50.550 --> 00:10:50.560 align:start position:0%
little bit of uh python to just kind of
 

00:10:50.560 --> 00:10:52.870 align:start position:0%
little bit of uh python to just kind of
do<00:10:50.839><c> the</c><00:10:51.600><c> uh</c><00:10:51.880><c> little</c><00:10:52.040><c> bit</c><00:10:52.279><c> whatever</c><00:10:52.639><c> a</c><00:10:52.720><c> little</c>

00:10:52.870 --> 00:10:52.880 align:start position:0%
do the uh little bit whatever a little
 

00:10:52.880 --> 00:10:54.230 align:start position:0%
do the uh little bit whatever a little
bit<00:10:53.000><c> of</c><00:10:53.279><c> machine</c><00:10:53.519><c> learning</c><00:10:53.760><c> training</c><00:10:54.079><c> is</c>

00:10:54.230 --> 00:10:54.240 align:start position:0%
bit of machine learning training is
 

00:10:54.240 --> 00:10:55.990 align:start position:0%
bit of machine learning training is
required<00:10:54.839><c> interesting</c><00:10:55.399><c> so</c><00:10:55.720><c> I</c><00:10:55.760><c> mean</c><00:10:55.880><c> that</c>

00:10:55.990 --> 00:10:56.000 align:start position:0%
required interesting so I mean that
 

00:10:56.000 --> 00:10:58.030 align:start position:0%
required interesting so I mean that
sounds<00:10:56.360><c> really</c><00:10:56.680><c> kind</c><00:10:56.800><c> of</c><00:10:57.079><c> a</c><00:10:57.240><c> scalable</c>

00:10:58.030 --> 00:10:58.040 align:start position:0%
sounds really kind of a scalable
 

00:10:58.040 --> 00:10:59.949 align:start position:0%
sounds really kind of a scalable
production<00:10:58.440><c> infrastructure</c><00:10:58.959><c> and</c><00:10:59.480><c> I</c><00:10:59.600><c> must</c><00:10:59.760><c> say</c>

00:10:59.949 --> 00:10:59.959 align:start position:0%
production infrastructure and I must say
 

00:10:59.959 --> 00:11:02.230 align:start position:0%
production infrastructure and I must say
that<00:11:00.079><c> you</c><00:11:00.200><c> know</c><00:11:00.680><c> B's</c><00:11:01.279><c> I</c><00:11:01.360><c> think</c><00:11:01.560><c> lead</c><00:11:01.800><c> is</c><00:11:01.959><c> Jerome</c>

00:11:02.230 --> 00:11:02.240 align:start position:0%
that you know B's I think lead is Jerome
 

00:11:02.240 --> 00:11:05.389 align:start position:0%
that you know B's I think lead is Jerome
Banks<00:11:02.639><c> who</c><00:11:02.760><c> is</c><00:11:02.920><c> our</c><00:11:03.480><c> common</c><00:11:04.480><c> former</c><00:11:04.880><c> colleague</c>

00:11:05.389 --> 00:11:05.399 align:start position:0%
Banks who is our common former colleague
 

00:11:05.399 --> 00:11:07.310 align:start position:0%
Banks who is our common former colleague
now<00:11:05.600><c> at</c><00:11:05.760><c> F</c><00:11:06.000><c> we</c><00:11:06.200><c> and</c><00:11:06.399><c> actually</c><00:11:06.720><c> we</c><00:11:06.800><c> are</c><00:11:06.920><c> planning</c>

00:11:07.310 --> 00:11:07.320 align:start position:0%
now at F we and actually we are planning
 

00:11:07.320 --> 00:11:10.870 align:start position:0%
now at F we and actually we are planning
to<00:11:07.639><c> present</c><00:11:08.519><c> some</c><00:11:08.720><c> of</c><00:11:08.959><c> the</c><00:11:09.240><c> open</c><00:11:09.720><c> sourcing</c><00:11:10.720><c> uh</c>

00:11:10.870 --> 00:11:10.880 align:start position:0%
to present some of the open sourcing uh
 

00:11:10.880 --> 00:11:13.550 align:start position:0%
to present some of the open sourcing uh
stages<00:11:11.279><c> of</c><00:11:11.440><c> that</c><00:11:11.680><c> project</c><00:11:12.000><c> and</c><00:11:12.200><c> some</c><00:11:12.480><c> of</c><00:11:12.639><c> scups</c>

00:11:13.550 --> 00:11:13.560 align:start position:0%
stages of that project and some of scups
 

00:11:13.560 --> 00:11:16.069 align:start position:0%
stages of that project and some of scups
uh<00:11:13.720><c> coming</c><00:11:14.120><c> coming</c><00:11:14.320><c> forward</c><00:11:14.920><c> yeah</c><00:11:15.480><c> uh</c>

00:11:16.069 --> 00:11:16.079 align:start position:0%
uh coming coming forward yeah uh
 

00:11:16.079 --> 00:11:18.990 align:start position:0%
uh coming coming forward yeah uh
interesting<00:11:16.600><c> so</c><00:11:17.079><c> so</c><00:11:17.360><c> given</c><00:11:17.839><c> that</c><00:11:18.160><c> you</c><00:11:18.560><c> you</c><00:11:18.839><c> you</c>

00:11:18.990 --> 00:11:19.000 align:start position:0%
interesting so so given that you you you
 

00:11:19.000 --> 00:11:20.949 align:start position:0%
interesting so so given that you you you
kind<00:11:19.160><c> of</c><00:11:19.440><c> set</c><00:11:19.720><c> up</c><00:11:20.040><c> this</c><00:11:20.200><c> infrastructure</c><00:11:20.800><c> you</c>

00:11:20.949 --> 00:11:20.959 align:start position:0%
kind of set up this infrastructure you
 

00:11:20.959 --> 00:11:23.310 align:start position:0%
kind of set up this infrastructure you
toate<00:11:21.279><c> it</c><00:11:21.440><c> and</c><00:11:21.560><c> you</c><00:11:21.680><c> have</c><00:11:21.839><c> it</c><00:11:22.000><c> in</c><00:11:22.200><c> kind</c><00:11:22.320><c> of</c><00:11:22.519><c> nice</c>

00:11:23.310 --> 00:11:23.320 align:start position:0%
toate it and you have it in kind of nice
 

00:11:23.320 --> 00:11:25.110 align:start position:0%
toate it and you have it in kind of nice
you<00:11:23.399><c> know</c><00:11:23.560><c> ready</c><00:11:23.920><c> working</c><00:11:24.440><c> production</c><00:11:24.800><c> order</c>

00:11:25.110 --> 00:11:25.120 align:start position:0%
you know ready working production order
 

00:11:25.120 --> 00:11:26.829 align:start position:0%
you know ready working production order
and<00:11:25.200><c> you</c><00:11:25.279><c> can</c><00:11:25.399><c> iterate</c><00:11:25.720><c> an</c><00:11:25.880><c> experiment</c><00:11:26.760><c> what</c>

00:11:26.829 --> 00:11:26.839 align:start position:0%
and you can iterate an experiment what
 

00:11:26.839 --> 00:11:28.389 align:start position:0%
and you can iterate an experiment what
are<00:11:27.040><c> the</c><00:11:27.200><c> next</c><00:11:27.440><c> steps</c><00:11:27.800><c> where</c><00:11:27.920><c> do</c><00:11:28.040><c> you</c><00:11:28.120><c> see</c>

00:11:28.389 --> 00:11:28.399 align:start position:0%
are the next steps where do you see
 

00:11:28.399 --> 00:11:30.710 align:start position:0%
are the next steps where do you see
challenges<00:11:28.880><c> for</c><00:11:29.320><c> for</c><00:11:29.760><c> for</c><00:11:30.000><c> this</c><00:11:30.240><c> project</c><00:11:30.600><c> in</c>

00:11:30.710 --> 00:11:30.720 align:start position:0%
challenges for for for this project in
 

00:11:30.720 --> 00:11:32.910 align:start position:0%
challenges for for for this project in
the<00:11:30.839><c> future</c><00:11:31.720><c> yeah</c><00:11:31.920><c> I</c><00:11:32.000><c> think</c><00:11:32.399><c> uh</c><00:11:32.560><c> one</c><00:11:32.680><c> of</c><00:11:32.800><c> the</c>

00:11:32.910 --> 00:11:32.920 align:start position:0%
the future yeah I think uh one of the
 

00:11:32.920 --> 00:11:35.269 align:start position:0%
the future yeah I think uh one of the
most<00:11:33.519><c> exciting</c><00:11:34.000><c> things</c><00:11:34.320><c> for</c><00:11:34.519><c> me</c><00:11:34.760><c> is</c><00:11:35.120><c> uh</c>

00:11:35.269 --> 00:11:35.279 align:start position:0%
most exciting things for me is uh
 

00:11:35.279 --> 00:11:36.710 align:start position:0%
most exciting things for me is uh
actually<00:11:35.519><c> in</c><00:11:35.600><c> the</c><00:11:35.680><c> domain</c><00:11:35.920><c> of</c><00:11:36.040><c> deep</c><00:11:36.240><c> learning</c>

00:11:36.710 --> 00:11:36.720 align:start position:0%
actually in the domain of deep learning
 

00:11:36.720 --> 00:11:39.350 align:start position:0%
actually in the domain of deep learning
MH<00:11:37.160><c> uh</c><00:11:37.440><c> so</c><00:11:37.600><c> deep</c><00:11:37.800><c> learning</c><00:11:38.160><c> is</c><00:11:38.320><c> just</c><00:11:38.639><c> I</c><00:11:38.680><c> mean</c>

00:11:39.350 --> 00:11:39.360 align:start position:0%
MH uh so deep learning is just I mean
 

00:11:39.360 --> 00:11:41.110 align:start position:0%
MH uh so deep learning is just I mean
everybody's<00:11:39.800><c> talking</c><00:11:40.120><c> about</c><00:11:40.360><c> it</c><00:11:40.600><c> it's</c><00:11:40.959><c> it's</c>

00:11:41.110 --> 00:11:41.120 align:start position:0%
everybody's talking about it it's it's
 

00:11:41.120 --> 00:11:42.870 align:start position:0%
everybody's talking about it it's it's
kind<00:11:41.240><c> of</c><00:11:41.320><c> the</c><00:11:41.480><c> hot</c><00:11:41.920><c> area</c><00:11:42.160><c> of</c><00:11:42.240><c> machine</c><00:11:42.519><c> learning</c>

00:11:42.870 --> 00:11:42.880 align:start position:0%
kind of the hot area of machine learning
 

00:11:42.880 --> 00:11:45.430 align:start position:0%
kind of the hot area of machine learning
right<00:11:43.040><c> now</c><00:11:43.720><c> uh</c><00:11:43.800><c> the</c><00:11:43.920><c> challenge</c><00:11:44.399><c> there</c><00:11:44.600><c> is</c><00:11:44.800><c> that</c>

00:11:45.430 --> 00:11:45.440 align:start position:0%
right now uh the challenge there is that
 

00:11:45.440 --> 00:11:46.990 align:start position:0%
right now uh the challenge there is that
if<00:11:45.519><c> you</c><00:11:45.600><c> wanted</c><00:11:45.880><c> to</c><00:11:46.000><c> run</c><00:11:46.240><c> any</c><00:11:46.399><c> algorithm</c><00:11:46.880><c> on</c>

00:11:46.990 --> 00:11:47.000 align:start position:0%
if you wanted to run any algorithm on
 

00:11:47.000 --> 00:11:49.590 align:start position:0%
if you wanted to run any algorithm on
deep<00:11:47.200><c> learning</c><00:11:47.639><c> you</c><00:11:48.360><c> it's</c><00:11:49.160><c> I</c><00:11:49.200><c> mean</c><00:11:49.399><c> it's</c>

00:11:49.590 --> 00:11:49.600 align:start position:0%
deep learning you it's I mean it's
 

00:11:49.600 --> 00:11:50.990 align:start position:0%
deep learning you it's I mean it's
debatable<00:11:50.120><c> whether</c><00:11:50.320><c> you</c><00:11:50.440><c> can</c><00:11:50.560><c> do</c><00:11:50.680><c> it</c><00:11:50.800><c> on</c><00:11:50.920><c> the</c>

00:11:50.990 --> 00:11:51.000 align:start position:0%
debatable whether you can do it on the
 

00:11:51.000 --> 00:11:53.030 align:start position:0%
debatable whether you can do it on the
cloud<00:11:51.279><c> and</c><00:11:51.480><c> on</c><00:11:51.600><c> the</c><00:11:51.680><c> jvm</c><00:11:52.399><c> uh</c><00:11:52.639><c> right</c><00:11:52.760><c> now</c><00:11:52.920><c> the</c>

00:11:53.030 --> 00:11:53.040 align:start position:0%
cloud and on the jvm uh right now the
 

00:11:53.040 --> 00:11:55.629 align:start position:0%
cloud and on the jvm uh right now the
best<00:11:53.760><c> uh</c><00:11:54.120><c> approaches</c><00:11:54.519><c> to</c><00:11:54.680><c> that</c><00:11:54.880><c> have</c><00:11:55.040><c> been</c><00:11:55.480><c> to</c>

00:11:55.629 --> 00:11:55.639 align:start position:0%
best uh approaches to that have been to
 

00:11:55.639 --> 00:11:58.990 align:start position:0%
best uh approaches to that have been to
run<00:11:55.839><c> it</c><00:11:56.000><c> on</c><00:11:56.680><c> uh</c><00:11:57.160><c> gpus</c><00:11:58.160><c> uh</c><00:11:58.440><c> now</c><00:11:58.600><c> if</c><00:11:58.680><c> you</c><00:11:58.800><c> wanted</c>

00:11:58.990 --> 00:11:59.000 align:start position:0%
run it on uh gpus uh now if you wanted
 

00:11:59.000 --> 00:12:01.110 align:start position:0%
run it on uh gpus uh now if you wanted
to<00:11:59.240><c> scale</c><00:11:59.519><c> gpus</c><00:12:00.320><c> but</c><00:12:00.560><c> now</c><00:12:00.680><c> you're</c><00:12:00.839><c> using</c>

00:12:01.110 --> 00:12:01.120 align:start position:0%
to scale gpus but now you're using
 

00:12:01.120 --> 00:12:02.949 align:start position:0%
to scale gpus but now you're using
something<00:12:01.399><c> like</c><00:12:01.519><c> the</c><00:12:01.639><c> Hado</c><00:12:02.000><c> stack</c><00:12:02.680><c> then</c><00:12:02.839><c> how</c>

00:12:02.949 --> 00:12:02.959 align:start position:0%
something like the Hado stack then how
 

00:12:02.959 --> 00:12:04.430 align:start position:0%
something like the Hado stack then how
you<00:12:03.079><c> going</c><00:12:03.200><c> to</c><00:12:03.360><c> really</c><00:12:03.560><c> go</c><00:12:03.720><c> about</c><00:12:03.920><c> it</c><00:12:04.079><c> so</c><00:12:04.240><c> I</c>

00:12:04.430 --> 00:12:04.440 align:start position:0%
you going to really go about it so I
 

00:12:04.440 --> 00:12:06.509 align:start position:0%
you going to really go about it so I
think<00:12:04.880><c> uh</c><00:12:05.440><c> there</c><00:12:05.519><c> are</c><00:12:05.680><c> certain</c><00:12:05.959><c> challenges</c>

00:12:06.509 --> 00:12:06.519 align:start position:0%
think uh there are certain challenges
 

00:12:06.519 --> 00:12:09.350 align:start position:0%
think uh there are certain challenges
there<00:12:06.839><c> that</c><00:12:07.240><c> uh</c><00:12:07.800><c> we'll</c><00:12:08.040><c> probably</c><00:12:08.480><c> be</c><00:12:08.880><c> I</c><00:12:08.959><c> mean</c>

00:12:09.350 --> 00:12:09.360 align:start position:0%
there that uh we'll probably be I mean
 

00:12:09.360 --> 00:12:11.829 align:start position:0%
there that uh we'll probably be I mean
I'll<00:12:09.519><c> be</c><00:12:09.680><c> keeping</c><00:12:09.920><c> my</c><00:12:10.360><c> eye</c><00:12:10.519><c> out</c><00:12:10.720><c> on</c><00:12:11.519><c> uh</c><00:12:11.600><c> in</c><00:12:11.720><c> the</c>

00:12:11.829 --> 00:12:11.839 align:start position:0%
I'll be keeping my eye out on uh in the
 

00:12:11.839 --> 00:12:13.150 align:start position:0%
I'll be keeping my eye out on uh in the
next<00:12:12.040><c> couple</c><00:12:12.240><c> of</c><00:12:12.360><c> years</c><00:12:12.519><c> to</c><00:12:12.639><c> see</c><00:12:12.839><c> how</c><00:12:13.000><c> that</c>

00:12:13.150 --> 00:12:13.160 align:start position:0%
next couple of years to see how that
 

00:12:13.160 --> 00:12:15.670 align:start position:0%
next couple of years to see how that
plans<00:12:13.480><c> out</c><00:12:13.800><c> but</c><00:12:14.240><c> uh</c><00:12:14.800><c> uh</c><00:12:14.959><c> that</c><00:12:15.120><c> is</c><00:12:15.279><c> a</c><00:12:15.440><c> very</c>

00:12:15.670 --> 00:12:15.680 align:start position:0%
plans out but uh uh that is a very
 

00:12:15.680 --> 00:12:18.590 align:start position:0%
plans out but uh uh that is a very
exciting<00:12:16.320><c> area</c><00:12:16.639><c> of</c><00:12:17.079><c> research</c><00:12:17.519><c> because</c><00:12:18.360><c> uh</c><00:12:18.480><c> if</c>

00:12:18.590 --> 00:12:18.600 align:start position:0%
exciting area of research because uh if
 

00:12:18.600 --> 00:12:20.389 align:start position:0%
exciting area of research because uh if
you<00:12:18.680><c> are</c><00:12:18.800><c> able</c><00:12:19.000><c> to</c><00:12:19.079><c> do</c><00:12:19.279><c> unsupervised</c><00:12:20.079><c> learning</c>

00:12:20.389 --> 00:12:20.399 align:start position:0%
you are able to do unsupervised learning
 

00:12:20.399 --> 00:12:22.269 align:start position:0%
you are able to do unsupervised learning
using<00:12:20.920><c> uh</c><00:12:21.040><c> deep</c><00:12:21.279><c> learning</c><00:12:21.600><c> on</c><00:12:21.800><c> like</c><00:12:21.959><c> large</c>

00:12:22.269 --> 00:12:22.279 align:start position:0%
using uh deep learning on like large
 

00:12:22.279 --> 00:12:24.949 align:start position:0%
using uh deep learning on like large
corpuses<00:12:23.040><c> then</c><00:12:23.839><c> uh</c><00:12:23.959><c> you</c><00:12:24.120><c> pretty</c><00:12:24.360><c> much</c><00:12:24.639><c> have</c>

00:12:24.949 --> 00:12:24.959 align:start position:0%
corpuses then uh you pretty much have
 

00:12:24.959 --> 00:12:28.470 align:start position:0%
corpuses then uh you pretty much have
like<00:12:25.480><c> uh</c><00:12:26.120><c> a</c><00:12:26.320><c> huge</c><00:12:26.880><c> step</c><00:12:27.199><c> ahead</c><00:12:27.560><c> than</c><00:12:27.839><c> what</c>

00:12:28.470 --> 00:12:28.480 align:start position:0%
like uh a huge step ahead than what
 

00:12:28.480 --> 00:12:31.470 align:start position:0%
like uh a huge step ahead than what
everybody<00:12:28.920><c> has</c><00:12:29.040><c> is</c><00:12:29.240><c> that</c><00:12:29.399><c> currently</c><00:12:29.839><c> on</c><00:12:30.839><c> uh</c><00:12:31.320><c> in</c>

00:12:31.470 --> 00:12:31.480 align:start position:0%
everybody has is that currently on uh in
 

00:12:31.480 --> 00:12:33.550 align:start position:0%
everybody has is that currently on uh in
in<00:12:31.560><c> terms</c><00:12:31.800><c> of</c><00:12:31.920><c> production</c><00:12:32.320><c> systems</c><00:12:33.120><c> you</c><00:12:33.240><c> know</c>

00:12:33.550 --> 00:12:33.560 align:start position:0%
in terms of production systems you know
 

00:12:33.560 --> 00:12:34.629 align:start position:0%
in terms of production systems you know
it's<00:12:33.680><c> interesting</c><00:12:34.079><c> you</c><00:12:34.160><c> mention</c><00:12:34.440><c> this</c>

00:12:34.629 --> 00:12:34.639 align:start position:0%
it's interesting you mention this
 

00:12:34.639 --> 00:12:36.670 align:start position:0%
it's interesting you mention this
because<00:12:34.839><c> you</c><00:12:34.920><c> know</c><00:12:35.079><c> we</c><00:12:35.199><c> have</c><00:12:35.360><c> this</c><00:12:35.800><c> uh</c><00:12:36.519><c> uh</c>

00:12:36.670 --> 00:12:36.680 align:start position:0%
because you know we have this uh uh
 

00:12:36.680 --> 00:12:38.629 align:start position:0%
because you know we have this uh uh
conference<00:12:37.199><c> coming</c><00:12:37.440><c> up</c><00:12:37.639><c> text</c><00:12:37.920><c> by</c><00:12:38.079><c> the</c><00:12:38.160><c> bay</c><00:12:38.440><c> and</c>

00:12:38.629 --> 00:12:38.639 align:start position:0%
conference coming up text by the bay and
 

00:12:38.639 --> 00:12:40.310 align:start position:0%
conference coming up text by the bay and
one<00:12:38.760><c> of</c><00:12:38.880><c> the</c><00:12:39.000><c> talks</c><00:12:39.279><c> they</c><00:12:39.519><c> actually</c><00:12:39.800><c> Dearing</c>

00:12:40.310 --> 00:12:40.320 align:start position:0%
one of the talks they actually Dearing
 

00:12:40.320 --> 00:12:42.790 align:start position:0%
one of the talks they actually Dearing
with<00:12:40.480><c> deing</c><00:12:40.880><c> for</c><00:12:41.040><c> J</c><00:12:41.639><c> on</c><00:12:41.800><c> spark</c><00:12:42.160><c> and</c><00:12:42.320><c> that</c><00:12:42.480><c> tool</c>

00:12:42.790 --> 00:12:42.800 align:start position:0%
with deing for J on spark and that tool
 

00:12:42.800 --> 00:12:45.470 align:start position:0%
with deing for J on spark and that tool
kit<00:12:43.079><c> actually</c><00:12:43.800><c> uses</c><00:12:44.199><c> gpus</c><00:12:44.800><c> right</c><00:12:44.920><c> so</c><00:12:45.079><c> because</c>

00:12:45.470 --> 00:12:45.480 align:start position:0%
kit actually uses gpus right so because
 

00:12:45.480 --> 00:12:47.990 align:start position:0%
kit actually uses gpus right so because
you<00:12:45.800><c> you</c><00:12:45.920><c> can</c><00:12:46.399><c> there</c><00:12:46.519><c> is</c><00:12:46.639><c> a</c><00:12:47.040><c> linear</c><00:12:47.480><c> algebra</c>

00:12:47.990 --> 00:12:48.000 align:start position:0%
you you can there is a linear algebra
 

00:12:48.000 --> 00:12:51.790 align:start position:0%
you you can there is a linear algebra
implementation<00:12:48.680><c> nd4j</c><00:12:49.399><c> which</c><00:12:49.600><c> can</c><00:12:50.160><c> use</c><00:12:50.920><c> Cuda</c>

00:12:51.790 --> 00:12:51.800 align:start position:0%
implementation nd4j which can use Cuda
 

00:12:51.800 --> 00:12:55.269 align:start position:0%
implementation nd4j which can use Cuda
and<00:12:51.959><c> and</c><00:12:52.120><c> gpus</c><00:12:52.639><c> so</c><00:12:53.160><c> hopefully</c><00:12:54.160><c> uh</c><00:12:54.959><c> we</c><00:12:55.160><c> make</c>

00:12:55.269 --> 00:12:55.279 align:start position:0%
and and gpus so hopefully uh we make
 

00:12:55.279 --> 00:12:56.990 align:start position:0%
and and gpus so hopefully uh we make
some<00:12:55.440><c> advances</c><00:12:56.000><c> there</c><00:12:56.240><c> right</c><00:12:56.399><c> and</c><00:12:56.880><c> I've</c>

00:12:56.990 --> 00:12:57.000 align:start position:0%
some advances there right and I've
 

00:12:57.000 --> 00:12:58.509 align:start position:0%
some advances there right and I've
looked<00:12:57.160><c> into</c><00:12:57.360><c> de</c><00:12:57.720><c> learning</c><00:12:57.959><c> for</c><00:12:58.240><c> it</c><00:12:58.320><c> looks</c>

00:12:58.509 --> 00:12:58.519 align:start position:0%
looked into de learning for it looks
 

00:12:58.519 --> 00:13:00.150 align:start position:0%
looked into de learning for it looks
very<00:12:58.680><c> interesting</c>

00:13:00.150 --> 00:13:00.160 align:start position:0%
very interesting
 

00:13:00.160 --> 00:13:02.069 align:start position:0%
very interesting
Park<00:13:00.399><c> too</c><00:13:00.680><c> right</c><00:13:00.839><c> so</c><00:13:01.199><c> hopefully</c><00:13:01.760><c> all</c><00:13:01.920><c> this</c>

00:13:02.069 --> 00:13:02.079 align:start position:0%
Park too right so hopefully all this
 

00:13:02.079 --> 00:13:03.550 align:start position:0%
Park too right so hopefully all this
stuff<00:13:02.240><c> will</c><00:13:02.399><c> come</c><00:13:02.680><c> together</c><00:13:02.920><c> and</c><00:13:03.079><c> I</c><00:13:03.160><c> think</c>

00:13:03.550 --> 00:13:03.560 align:start position:0%
stuff will come together and I think
 

00:13:03.560 --> 00:13:05.790 align:start position:0%
stuff will come together and I think
actually<00:13:03.959><c> it</c><00:13:04.240><c> a</c><00:13:04.399><c> great</c><00:13:04.639><c> application</c><00:13:05.639><c> and</c>

00:13:05.790 --> 00:13:05.800 align:start position:0%
actually it a great application and
 

00:13:05.800 --> 00:13:08.350 align:start position:0%
actually it a great application and
hopefully<00:13:06.240><c> you</c><00:13:06.360><c> know</c><00:13:07.040><c> uh</c><00:13:07.279><c> we'll</c><00:13:07.480><c> see</c><00:13:08.120><c> what's</c>

00:13:08.350 --> 00:13:08.360 align:start position:0%
hopefully you know uh we'll see what's
 

00:13:08.360 --> 00:13:09.910 align:start position:0%
hopefully you know uh we'll see what's
next<00:13:08.600><c> and</c><00:13:08.760><c> I</c><00:13:08.839><c> mean</c><00:13:09.240><c> I</c><00:13:09.360><c> think</c><00:13:09.480><c> the</c><00:13:09.600><c> committee</c>

00:13:09.910 --> 00:13:09.920 align:start position:0%
next and I mean I think the committee
 

00:13:09.920 --> 00:13:12.150 align:start position:0%
next and I mean I think the committee
will<00:13:10.040><c> be</c><00:13:10.160><c> happy</c><00:13:10.440><c> to</c><00:13:10.959><c> to</c><00:13:11.120><c> work</c><00:13:11.279><c> on</c><00:13:11.399><c> this</c><00:13:11.600><c> stuff</c>

00:13:12.150 --> 00:13:12.160 align:start position:0%
will be happy to to work on this stuff
 

00:13:12.160 --> 00:13:14.189 align:start position:0%
will be happy to to work on this stuff
yeah<00:13:12.480><c> well</c><00:13:12.680><c> thanks</c><00:13:13.120><c> for</c><00:13:13.279><c> sharing</c><00:13:13.639><c> us</c><00:13:14.079><c> we're</c>

00:13:14.189 --> 00:13:14.199 align:start position:0%
yeah well thanks for sharing us we're
 

00:13:14.199 --> 00:13:15.470 align:start position:0%
yeah well thanks for sharing us we're
looking<00:13:14.360><c> forward</c><00:13:14.600><c> to</c><00:13:14.720><c> your</c><00:13:14.920><c> talk</c><00:13:15.199><c> thank</c><00:13:15.320><c> you</c>

00:13:15.470 --> 00:13:15.480 align:start position:0%
looking forward to your talk thank you
 

00:13:15.480 --> 00:13:28.110 align:start position:0%
looking forward to your talk thank you
thanks<00:13:15.720><c> so</c><00:13:15.839><c> much</c><00:13:16.320><c> yeah</c><00:13:16.480><c> all</c><00:13:16.600><c> right</c>

00:13:28.110 --> 00:13:28.120 align:start position:0%
 
 

00:13:28.120 --> 00:13:31.120 align:start position:0%
 
thanks

