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An Introduction to Statistical Learning with Applications in Python

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Re: An Introduction to Statistical Learning with Applications in Python

#81

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 o…

As an ML engineer, I look forward to the day OpenAI ups their prices 5x and companies hire people like me as a consultant to replace their expensive API calls with an SVM or random forest that can be run off a smartphone.

That intern who figured out how to make a POST request and accidentally committed the API keys to public GitHub? Long gone. The rise and grind manager who discovered ChatGPT in April? Retired. But we will be there, ready to cut your costs by 95% because people couldn’t be bothered to understand the basics of what they’re using, in exchange for a sizable consulting fee of course.

Re: An Introduction to Statistical Learning with Applications in Python

#82
post #65

Earlier quoted context omitted.

Press X to doubt.

[1] CMU 10-701: Introduction to Machine Learning : Recommended Textbooks: Pattern Recognition and Machine Learning, Christopher Bishop Machine Learning: A probabilistic perspective, Kevin Murphy [2] University of Toronto CSC 311: Introduction to Machine Learning Suggested readings are optional; they are resources we recommend to help you understand the course material. All of the textbooks listed below are freely ava…

So, they name them as further resources but don't use them as introductory texts. As I said.

Re: An Introduction to Statistical Learning with Applications in Python

#83

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…

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

That's because anyone can interact with chatgpt. Textbooks on the other hand take serious effort to consume.

Re: An Introduction to Statistical Learning with Applications in Python

#84
post #82

Earlier quoted context omitted.

[1] CMU 10-701: Introduction to Machine Learning : Recommended Textbooks: Pattern Recognition and Machine Learning, Christopher Bishop Machine Learning: A probabilistic perspective, Kevin Murphy [2] University of Toronto CSC 311: Introduction to Machine Learning Suggested readings are optional; they are resources we recommend to help you understand the course material. All of the textbooks listed below are freely ava…

So, they name them as further resources but don't use them as introductory texts. As I said.

Yeah you’ve obviously never been through college/university.

Re: An Introduction to Statistical Learning with Applications in Python

#85
post #82

Earlier quoted context omitted.

So, they name them as further resources but don't use them as introductory texts. As I said.

Yeah you’ve obviously never been through college/university.

Sure, mate. Whatever makes you feel better.

Re: An Introduction to Statistical Learning with Applications in Python

#87
post #44

Earlier quoted context omitted.

Any plans for a Julia version?

Honestly, I dont think they will have Julia version soon. I converted all the code in this book to Julia sometimes ago: https://github.com/tndoan/ISLR.jl

Amazing work, any plans to update it for V2?
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