An Introduction to Statistical Learning: with Applications in R (Springer Texts in Statistics) Hardcover – 30 July 2021

Absolutely an excellent reading for people with a statistics or basic academic mathematical background.A great introduction to ML will help to comprehend the big picture of the topic (you can foresee the true complexity and "toughness" of the limitless subject).Suggested to people interested in Business/Data Analytics and Data Science topics (not for ML engineers).What I loved is that - at the end of the book - you do come out with a broad but clear understanding of the complexity and general "meaning" of ML.This can be a great book that helps to clarify if ML is actually a real interest/dream job (and then you need to read more advanced books like "Elements of Stat. Learning" and think of undertaking a deep ML engineering career/academic path).Or if a more Business Analytics career path (staying on the surface of deep mathematical topics) works better for personal interests, background and career aims.

If you know a little statistics and basics of using R / RStudio then this book will be very useful.Bought it for a Masters course but provides a lot of background for business analytics as well

This is really a good book. Machine learning is a form of statistical learning and this book provides a great introduction.

Honestly this book carried me through my statistics masters, it had the perfect detail for this course and covered many of my modules

It doesn't work on either kindle reader app or cloud. App crashes and cloud tells you to read it on the app.Its a good book so i won't trash the rating but its very sloppy for this not to be checked for a tech book.

Excellent book. The authors kindly provide a free full colour pdf on the book's website, as well as free access to a detailed companion course to help better understand the material. Both were updated to the 2nd edition in 2021. Having the pdf on a computer to copy and paste notes from is extremely convenient. I refer back to the book often and want to financially support a distribution system like this that helps make quality learning material available to all, so will certainly buy a hard copy. £60 for the kindle edition might make sense for those with accessibility needs who would find the font scaling useful, but If you don't mind small fonts you can just email the pdf to your kindle.

Like a bible on ML