Ashish Rastogi

Data Scientist by Day, Dad by Night.

[Netflix Research @NetflixResearch]

Read about how we support content decision making using machine learning at Netflix in this post on our techblog by @moximer @Chaitue12 @asaluja & @arastogi32 https://t.co/qg9uYdrvEY

[Ashish Rastogi @arastogi32]

So much Sushi; so little time. So long, Japan.

[TechCrunch @TechCrunch]

Netflix plans to turn Phil Knight’s ‘Shoe Dog’ into a movie https://t.co/hWWElVN4mb by @anthonyha

[Ashish Rastogi @arastogi32]

@prateekkuhad the machines are coming... https://t.co/0sKxnmuSor

[Google AI @GoogleAI]

At 12PM, @fjord41 will be at the #ICML2018 Google booth to show an exploration of machine learning's role in the process of creating music (https://t.co/fuIvqbt935), and @NalKalchbrenner will demo a Sparse WaveRNN speaking on a Pixel 2 mobile phone (https://t.co/XztEyzbXBW).

[Ashish Rastogi @arastogi32]

Totally loved Sacred Games! Wow. @NetflixIndia @swatishetty

[Ashish Rastogi @arastogi32]

The Economist | The lucky 12 yards via @TheEconomist. ‘The data science of penalty shootouts’... https://t.co/kOjDai1fJx

[Ashish Rastogi @arastogi32]

Proof that I’ve been californified - avocado toast with eggs and some indie coffee for breakfast- in NY it used to be bagel with cream cheese:)

[Ashish Rastogi @arastogi32]

... Our work can also be seen as one more piece of evidence for a nascent belief that overparameterization of deep nets may be a good thing. By contrast, classical statistics discourages training a model with more parameters than necessary... https://t.co/zStgQErLUE

[Ashish Rastogi @arastogi32]

@NotAnArtichoke Did you try keeping the word ‘embeddings’ close to the ‘discourse vector’? 😀 https://t.co/WqLXpMOLLJ

[Ashish Rastogi @arastogi32]

Apple’s Siri problem is getting worse — my own take is that the trade off between having a larger training dataset by pooling or combining user data and privacy is hurting Siri here. https://t.co/QF8imNbQaO

[Ashish Rastogi @arastogi32]

https://t.co/bgoBih3qWk

[Ashish Rastogi @arastogi32]

GitHub Is Microsoft’s $7.5 Billion Undo Button https://t.co/CHH8WPcuHI

[Noah Desai Weiss @noah_weiss]

1/ Product Management isn’t a major one can study, few folks graduate into, and most people learn by apprenticeship. There are number of dangerous myths about what the PM role is. Here is a thread with five…

[Jeff Dean @JeffDean]

Nice write-up by Yonghui Wu of the Google Brain team about how the new Smart Compose feature in Gmail works behind-the-scenes. https://t.co/Tjpl3W3Ttr

[We Are Netflix @WeAreNetflix]

The Netflix Research team is thrilled to have launched their website https://t.co/btG2EfOBOZ today. This site will share how we think about data science & research and will be a landing place for our teams to highlight what they are working on. #WeAreNetflix

[Ashish Rastogi @arastogi32]

“Data Science and the Art of Producing Entertainment at Netflix” by Netflix Technology Blog https://t.co/6oCIoLZCeZ

[Ashish Rastogi @arastogi32]

Factor decomposition of beer in Japan. Data viz in action.

[Ashish Rastogi @arastogi32]

https://t.co/dVfg2YiQHX

[Ashish Rastogi @arastogi32]

Very cool work. "... the embedding is the solution to a complicated, nonconvex optimization, yet it behaves in such a striking linear way."

https://t.co/FcX6wpadko

[Ashish Rastogi @arastogi32]

Attended a great talk by Alfred Spector at CalTech on the "Opportunities and Perils in Data Science": https://t.co/R2aiIIpzTr