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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

#21

Post by lysecret »

TheAlchemist wrote: post #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 r…

This and elements where the intro to ML for me as well.

I understand your sentiment but we also have to accept that for a lot of Ml usecases just calling ChatGPT api is 100x better approach than creating your own Ml model, and thus there is really no need to understand any math.

As an example I am building an Ai nutrition counting app. And I use ChatGPT function calling. I can just add a field that has say an emoji of the good and it automatically classifies any food to the right emoji. There is absolutely no need to know gradient descent or any fundamental property to be able to do that.

Re: An Introduction to Statistical Learning with Applications in Python

#23

Post by lysecret »

defphysics wrote: post #20

Personally, I prefer Bishop (Pattern Recognition and Machine Learning) or Murphy (Probabilistic Machine Learning: An Introduction).

If you want more depth have you looked at the Elements from the same author ? This book is intended for beginners.

Re: An Introduction to Statistical Learning with Applications in Python

#24

Post by thumbuddy »

TheAlchemist wrote: post #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 r…

There's a meme where it shows someone stepping over all the steps to understand how to think about and analyze data directly to BERT. Well now people are stepping past BERT to stable diffusion and ChatGPT. It's been like this for years. Most work environments suffer from it in a bad way. I don't envy practicing data scientists managing expectations.

Re: An Introduction to Statistical Learning with Applications in Python

#26

Post by nemoniac »

loehnsberg wrote: post #11

ISL is the best intro-level textbook of classic ML methods. It‘s theory-oriented yet simple enough to appeal to a wide audience of students (with basic knowledge in stats, linear algebra, and coding). Having the examples only in R was a pain when teaching with it while using Python. I hope they‘ll now turn this into a series of Jupyter notebooks and distribute it through Colab or similar.

> I hope they‘ll now turn this into a series of Jupyter notebooks

You can find them here: https://www.statlearning.com/resources-python

Re: An Introduction to Statistical Learning with Applications in Python

#29

Post by DeathArrow »

TheAlchemist wrote: post #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 r…

Wait, so there's more in AI than ChatGPT?

Re: An Introduction to Statistical Learning with Applications in Python

#30

Post by Eigenwert »

TheAlchemist wrote: post #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 r…

A lot of people do not need to know about underlying concepts in AI - they just use it. Though it is interesting to see that even on this website this seems to be the case.
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