Linear Digressions

In each episode, your hosts explore machine learning and data science through interesting (and often very unusual) applications.

http://lineardigressions.com

Eine durchschnittliche Folge dieses Podcasts dauert 17m. Bisher sind 231 Folge(n) erschienen. Dieser Podcast erscheint wöchentlich
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The Language Model Too Dangerous to Release


OpenAI recently created a cutting-edge new natura…


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   21m
 
 

The cathedral and the bazaar


Imagine you have two choices of how to build some…


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   32m
 
 

AlphaStar


It’s time for our latest installation in the seri…


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   22m
 
 

Are machine learning engineers the new data scientists?


For many data scientists, maintaining models and …


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   20m
 
 

Interview with Alex Radovic, particle physicist turned machine learning researcher


You’d be hard-pressed to find a field with bigger…


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   35m
 
 

K Nearest Neighbors


K Nearest Neighbors is an algorithm with secrets.…


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 2019-02-18  16m
 
 

Not every deep learning paper is great. Is that a problem?


Deep learning is a field that’s growing quickly. …


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 2019-02-11  17m
 
 

The Assumptions of Ordinary Least Squares


Ordinary least squares (OLS) is often used synony…


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 2019-02-04  25m
 
 

Quantile Regression


Linear regression is a great tool if you want to …


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 2019-01-28  21m
 
 

Heterogeneous Treatment Effects


When data scientists use a linear regression to l…


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 2019-01-21  17m