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sure<00:00:12.719><c> my</c><00:00:13.170><c> name</c><00:00:13.349><c> is</c><00:00:13.500><c> parag</c><00:00:13.799><c> name</c><00:00:14.040><c> joshi</c><00:00:14.280><c> and</c><00:00:14.700><c> i</c>

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sure my name is parag name joshi and i
 

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sure my name is parag name joshi and i
am<00:00:15.929><c> a</c><00:00:16.020><c> principal</c><00:00:16.289><c> engineer</c><00:00:16.560><c> at</c><00:00:17.160><c> work</c><00:00:17.699><c> day</c><00:00:25.550><c> it's</c>

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am a principal engineer at work day it's
 

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am a principal engineer at work day it's
meeting<00:00:27.180><c> a</c><00:00:27.300><c> lot</c><00:00:27.510><c> of</c><00:00:27.570><c> smart</c><00:00:27.990><c> people</c><00:00:28.050><c> and</c>

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meeting a lot of smart people and
 

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meeting a lot of smart people and
hearing<00:00:30.510><c> them</c><00:00:30.810><c> talk</c><00:00:30.840><c> about</c><00:00:31.430><c> really</c><00:00:32.430><c> cool</c>

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hearing them talk about really cool
 

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hearing them talk about really cool
topics<00:00:33.090><c> there's</c><00:00:34.020><c> a</c><00:00:34.079><c> talk</c><00:00:34.380><c> from</c><00:00:35.300><c> google</c><00:00:36.300><c> about</c>

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topics there's a talk from google about
 

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topics there's a talk from google about
bigquery<00:00:37.140><c> that</c><00:00:37.559><c> was</c><00:00:37.710><c> very</c><00:00:37.829><c> interesting</c><00:00:38.840><c> in</c>

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bigquery that was very interesting in
 

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bigquery that was very interesting in
the<00:00:40.050><c> initial</c><00:00:40.200><c> talk</c><00:00:40.530><c> with</c><00:00:41.370><c> my</c><00:00:41.760><c> jay</c><00:00:42.000><c> was</c><00:00:42.180><c> also</c>

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the initial talk with my jay was also
 

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the initial talk with my jay was also
very<00:00:42.570><c> interesting</c><00:00:43.079><c> i</c><00:00:43.320><c> think</c><00:00:43.680><c> there</c><00:00:43.980><c> are</c><00:00:44.040><c> a</c><00:00:44.070><c> lot</c>

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very interesting i think there are a lot
 

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very interesting i think there are a lot
of<00:00:44.219><c> really</c><00:00:44.730><c> good</c><00:00:44.879><c> speakers</c><00:00:45.329><c> so</c><00:00:47.030><c> interacting</c>

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of really good speakers so interacting
 

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of really good speakers so interacting
with<00:00:48.180><c> them</c><00:00:48.360><c> is</c><00:00:48.570><c> a</c><00:00:48.710><c> really</c><00:00:49.710><c> great</c><00:00:49.800><c> experience</c>

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with them is a really great experience
 

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with them is a really great experience
and<00:00:50.670><c> of</c><00:00:51.210><c> course</c><00:00:51.449><c> just</c><00:00:51.960><c> great</c><00:00:52.199><c> to</c><00:00:52.379><c> interact</c>

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and of course just great to interact
 

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and of course just great to interact
with<00:00:53.430><c> the</c><00:00:53.489><c> community</c><00:00:53.660><c> which</c><00:00:54.660><c> is</c><00:00:54.780><c> probably</c><00:00:55.050><c> the</c>

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with the community which is probably the
 

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with the community which is probably the
one<00:00:55.620><c> of</c><00:00:55.710><c> the</c><00:00:55.800><c> best</c><00:00:56.010><c> in</c><00:00:56.129><c> the</c><00:00:56.160><c> world</c><00:01:00.590><c> data</c><00:01:01.590><c> is</c><00:01:01.829><c> the</c>

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one of the best in the world data is the
 

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one of the best in the world data is the
feature<00:01:02.629><c> so</c><00:01:03.629><c> in</c><00:01:04.350><c> in</c><00:01:04.949><c> particular</c><00:01:05.430><c> for</c><00:01:05.549><c> work</c><00:01:05.760><c> day</c>

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feature so in in particular for work day
 

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feature so in in particular for work day
work<00:01:06.689><c> there</c><00:01:06.869><c> has</c><00:01:06.990><c> been</c><00:01:07.200><c> a</c><00:01:07.229><c> transaction</c>

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work there has been a transaction
 

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work there has been a transaction
company<00:01:08.310><c> for</c><00:01:08.820><c> last</c><00:01:09.030><c> 10</c><00:01:09.240><c> years</c><00:01:09.479><c> and</c><00:01:10.320><c> right</c><00:01:11.189><c> from</c>

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company for last 10 years and right from
 

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company for last 10 years and right from
co<00:01:11.760><c> downwards</c><00:01:12.360><c> everybody</c><00:01:12.990><c> recognizes</c><00:01:13.619><c> that</c>

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co downwards everybody recognizes that
 

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co downwards everybody recognizes that
the<00:01:14.490><c> future</c><00:01:14.820><c> of</c><00:01:14.939><c> the</c><00:01:15.030><c> company</c><00:01:15.180><c> is</c><00:01:15.770><c> the</c><00:01:16.770><c> data</c>

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the future of the company is the data
 

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the future of the company is the data
and<00:01:18.470><c> how</c><00:01:19.470><c> do</c><00:01:19.530><c> we</c><00:01:19.740><c> utilize</c><00:01:20.250><c> all</c><00:01:20.610><c> these</c>

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and how do we utilize all these
 

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and how do we utilize all these
transactions<00:01:21.420><c> that</c><00:01:21.509><c> we</c><00:01:21.659><c> have</c><00:01:21.750><c> stored</c><00:01:22.049><c> how</c><00:01:22.740><c> can</c>

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transactions that we have stored how can
 

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transactions that we have stored how can
we<00:01:22.979><c> leverage</c><00:01:23.250><c> the</c><00:01:23.580><c> amusing</c><00:01:23.790><c> AI</c><00:01:24.090><c> and</c><00:01:25.189><c> provide</c>

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we leverage the amusing AI and provide
 

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we leverage the amusing AI and provide
maximum<00:01:26.580><c> value</c><00:01:27.210><c> to</c><00:01:27.330><c> our</c><00:01:27.360><c> customers</c><00:01:27.979><c> so</c><00:01:29.840><c> think</c>

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maximum value to our customers so think
 

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maximum value to our customers so think
that's<00:01:31.290><c> the</c><00:01:31.409><c> most</c><00:01:31.530><c> exciting</c><00:01:32.009><c> thing</c><00:01:32.220><c> that</c>

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that's the most exciting thing that
 

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that's the most exciting thing that
everybody<00:01:32.909><c> understands</c><00:01:33.420><c> now</c><00:01:33.810><c> that</c>

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everybody understands now that
 

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everybody understands now that
transactions<00:01:36.479><c> and</c><00:01:36.720><c> many</c><00:01:37.290><c> of</c><00:01:37.439><c> the</c><00:01:37.560><c> thing</c><00:01:37.740><c> many</c>

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transactions and many of the thing many
 

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transactions and many of the thing many
other<00:01:38.189><c> things</c><00:01:38.460><c> that</c><00:01:38.700><c> made</c><00:01:39.060><c> this</c><00:01:39.360><c> company</c>

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other things that made this company
 

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other things that made this company
successful<00:01:40.140><c> till</c><00:01:40.500><c> today</c><00:01:40.680><c> are</c><00:01:41.369><c> going</c><00:01:41.759><c> to</c>

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successful till today are going to
 

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successful till today are going to
become<00:01:41.970><c> commodities</c><00:01:42.770><c> what</c><00:01:43.770><c> is</c><00:01:43.890><c> good</c><00:01:44.070><c> what</c><00:01:44.520><c> is</c>

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become commodities what is good what is
 

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become commodities what is good what is
going<00:01:44.820><c> to</c><00:01:44.909><c> make</c><00:01:45.060><c> this</c><00:01:45.180><c> company</c><00:01:45.450><c> stand</c><00:01:45.780><c> out</c>

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going to make this company stand out
 

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going to make this company stand out
from<00:01:46.259><c> others</c><00:01:46.950><c> is</c><00:01:47.720><c> how</c><00:01:48.720><c> they</c><00:01:48.930><c> utilize</c><00:01:49.290><c> the</c><00:01:49.409><c> data</c>

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from others is how they utilize the data
 

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from others is how they utilize the data
and<00:01:50.399><c> I</c><00:01:50.490><c> think</c><00:01:50.670><c> that's</c><00:01:50.820><c> why</c><00:01:50.939><c> the</c><00:01:50.970><c> data</c><00:01:51.210><c> is</c><00:01:51.360><c> so</c>

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and I think that's why the data is so
 

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and I think that's why the data is so
cool

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from<00:02:02.950><c> them</c><00:02:03.130><c> from</c><00:02:03.399><c> my</c><00:02:03.490><c> talk</c><00:02:03.759><c> I</c><00:02:03.969><c> guess</c><00:02:04.149><c> the</c>

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from them from my talk I guess the
 

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from them from my talk I guess the
important<00:02:06.070><c> lesson</c><00:02:06.520><c> is</c><00:02:06.729><c> that</c><00:02:06.789><c> you</c><00:02:07.659><c> need</c><00:02:07.869><c> to</c>

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important lesson is that you need to
 

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important lesson is that you need to
know<00:02:08.129><c> what</c><00:02:09.129><c> is</c><00:02:09.280><c> the</c><00:02:09.429><c> validation</c>

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know what is the validation
 

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know what is the validation
methodologically<00:02:10.509><c> use</c><00:02:11.290><c> especially</c><00:02:12.250><c> for</c>

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methodologically use especially for
 

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methodologically use especially for
predictive<00:02:12.940><c> classification</c><00:02:13.480><c> problems</c><00:02:13.900><c> it's</c>

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predictive classification problems it's
 

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predictive classification problems it's
very<00:02:14.800><c> easy</c><00:02:15.099><c> to</c><00:02:16.030><c> use</c><00:02:16.440><c> the</c><00:02:17.440><c> wrong</c><00:02:17.620><c> methodology</c>

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very easy to use the wrong methodology
 

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very easy to use the wrong methodology
and<00:02:18.630><c> get</c><00:02:19.630><c> misleading</c><00:02:20.050><c> results</c><00:02:20.739><c> and</c><00:02:21.420><c> going</c>

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and get misleading results and going
 

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and get misleading results and going
production<00:02:23.430><c> it's</c><00:02:24.430><c> really</c><00:02:24.700><c> crucial</c><00:02:25.000><c> that</c><00:02:25.360><c> we</c>

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production it's really crucial that we
 

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production it's really crucial that we
you<00:02:26.140><c> get</c><00:02:26.380><c> the</c><00:02:27.310><c> validation</c><00:02:28.060><c> into</c><00:02:28.239><c> nology</c><00:02:28.599><c> right</c>

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you get the validation into nology right
 

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you get the validation into nology right
everything<00:02:29.799><c> else</c><00:02:30.010><c> will</c><00:02:30.280><c> follow</c><00:02:40.470><c> learn</c><00:02:41.470><c> a</c><00:02:41.500><c> lot</c>

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everything else will follow learn a lot
 

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everything else will follow learn a lot
of<00:02:41.860><c> probability</c><00:02:42.340><c> and</c><00:02:42.459><c> statistics</c><00:02:43.230><c> especially</c>

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of probability and statistics especially
 

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of probability and statistics especially
for<00:02:44.380><c> people</c><00:02:44.500><c> who</c><00:02:44.680><c> come</c><00:02:44.920><c> from</c><00:02:45.120><c> ml</c><00:02:46.120><c> and</c><00:02:46.329><c> CS</c>

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for people who come from ml and CS
 

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for people who come from ml and CS
background<00:02:47.190><c> some</c><00:02:48.190><c> of</c><00:02:48.310><c> them</c><00:02:48.430><c> have</c><00:02:48.640><c> weaknesses</c>

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background some of them have weaknesses
 

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background some of them have weaknesses
in<00:02:49.329><c> probability</c><00:02:50.049><c> and</c><00:02:50.140><c> statistics</c><00:02:50.620><c> we</c><00:02:51.370><c> need</c><00:02:51.519><c> to</c>

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in probability and statistics we need to
 

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in probability and statistics we need to
learn<00:02:52.239><c> and</c><00:02:52.569><c> overcome</c><00:02:53.260><c> those</c><00:02:53.440><c> obstacles</c><00:02:54.329><c> to</c>

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learn and overcome those obstacles to
 

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learn and overcome those obstacles to
become<00:02:55.480><c> good</c><00:02:56.290><c> data</c><00:02:56.500><c> scientists</c><00:02:57.040><c> and</c><00:02:57.519><c> then</c><00:02:57.940><c> to</c>

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become good data scientists and then to
 

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become good data scientists and then to
become<00:02:58.360><c> great</c><00:02:58.390><c> user</c><00:02:59.049><c> to</c><00:02:59.110><c> practice</c><00:02:59.530><c> and</c>

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become great user to practice and
 

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become great user to practice and
practice<00:03:00.040><c> and</c><00:03:00.250><c> practice</c>

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you