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An Introduction to Statistical Learning with Applications in Python

statlearning.com

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Re: An Introduction to Statistical Learning with Applications in Python

#2
This is an update to a very popular text which was originally in R. Professors Hastie & Tibshirani are leading educators in statistical learning. They also have a video course following these notes in Stanford Online. Very highly recommended if learning theoretical aspects of classical ML

Re: An Introduction to Statistical Learning with Applications in Python

#3
post #2

This is an update to a very popular text which was originally in R. Professors Hastie & Tibshirani are leading educators in statistical learning. They also have a video course following these notes in Stanford Online. Very highly recommended if learning theoretical aspects of classical ML

Any plans for a Julia version?

Re: An Introduction to Statistical Learning with Applications in Python

#4
post #2

This is an update to a very popular text which was originally in R. Professors Hastie & Tibshirani are leading educators in statistical learning. They also have a video course following these notes in Stanford Online. Very highly recommended if learning theoretical aspects of classical ML

Any plans for a Julia version?

I actually like this book by Yoni Nazarathy

https://statisticswithjulia.org/

They have a book on Mathematics of DL too which has several of the concepts covered here.

(Disclosure: I am slightly biased towards this since I've known the author by online interactions)

Re: An Introduction to Statistical Learning with Applications in Python

#10
Off topic, but it's very interesting to observe the ratio of upvotes / comments.

On any given chatGPT topic, there are hundreds of comments usually. Here, so far 100 upvotes, only 7 comments.

The book looks great - and given the authors, it almost certainly is (I will buy it for sure). It makes me think though about the state of 'ML / AI / Data Science' - and the cynic part of me thinks that this upvotes / comments ratio kind of reflects the fact that most people interested in AI hype have not really touched a lot of underlying concepts and don't have any deeper understanding of maths / stats behind.

PS. That being said, I didn't do a meaningful comment on the link topic neither.

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