Abhinav Pathak @abhinav_pathak1

Analytics professional San Mateo, CA Joined October 2016

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Abhinav Pathak @abhinav_pathak1

3 years ago

#DataScientists reach out to me, in case you are looking for a new role #layoffs

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KDnuggets @kdnuggets

4 years ago

Essential Math for #DataScience: Introduction to Matrices and the Matrix Product - KDnuggets #KDN ow.ly/kqN730rKTkM

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Dr Jordan B Peterson @jordanbpeterson

4 years ago

If you can think, and speak, and write, you are absolutely deadly. Writing is thinking formalized. You gain the ability to think by first learning to write very, very carefully. Then, when you can write effectively, you can do anything you want, and no one will stop you.

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Abhinav Pathak @abhinav_pathak1

4 years ago

g.co/CSRMP

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KDnuggets @kdnuggets

4 years ago

Data Engineering — the Cousin of #DataScience, is Troublesome - KDnuggets #KDN ow.ly/PjsZ30rKTjZ

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KDnuggets @kdnuggets

4 years ago

Time Series Forecasting with PyCaret Regression Module - KDnuggets #KDN ow.ly/rPAq30rKTk4

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Abhinav Pathak @abhinav_pathak1

4 years ago

ow.ly/rPAq30rKTk4

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Abhinav Pathak @abhinav_pathak1

5 years ago

linkedin.com/posts/abhinav-…

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Abhinav Pathak @abhinav_pathak1

5 years ago

Read on to understand the issue of Data Protection and Privacy. Hope it generates curiosity around the topic medium.com/swlh/the-ecosy…

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Abhinav Pathak @abhinav_pathak1

5 years ago

All those who 'rover' are not lost 😉 #PerseveranceRover #MarsLanding

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Abhinav Pathak @abhinav_pathak1

5 years ago

Spot on

Cory Muscara @corymuscara

5 years ago

Spot on

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boredbengio @boredbengio

5 years ago

Get off my lawn, Yawn I'm a king, you're a pawn! Working for Zuck, WTF? Convolution revolution? More like a delusion! #ICLoseR (pronounced "I SEE LOSER")

Bored Yann LeCun @boredyannlecun

5 years ago

Get off my lawn, Yawn I'm a king, you're a pawn! Working for Zuck, WTF? Convolution revolution? More like a delusion! #ICLoseR (pronounced "I SEE LOSER")

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Willem Sleegers @willemsleegers

5 years ago

Stats question: Why do we divide by n-1 to calculate the sample variance? I'm looking for a conceptual/intuitive explanation, not a mathematical proof. I know dividing by n-1 makes the measure unbiased, but why does n-1 fix it?

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Abhinav Pathak @abhinav_pathak1

5 years ago

Check out my latest article: Media bias and Fabrication linkedin.com/pulse/media-bi… via @LinkedIn

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Abhinav Pathak @abhinav_pathak1

5 years ago

Notes. Four prominent characteristics of thinking: 1. Skepticism and objectivity 2. Search for general principles 3. Symmetrical arguments 4. Thought experiments

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Abhinav Pathak @abhinav_pathak1

5 years ago

Illustration of the difference between the real state of the world which we need to know Vs what Media covers. Disproportionate coverage of news for TRPs and page views, that in turn drive ad revenue and political propaganda #mediabias Data not real