Originally split from this disucssion: Books on machine learning
ISLR is the most popular pick here as well as virtually any others forums/sites.
However, I haven't encountered in depth review "WHY" ISLR is that good.
It's interesting to see someone claim the word "learning" was just a hype that has nothing to do with learning and the whole thing is just pure statistics. I kind of agree because human review calculated result then improve the flow is still pretty much human learning, not ML.
Any details about why this book is a well fit for ML or why this book is better than some Statistics classic like Statistics by Freedman is welcome!
Edit: I really try to understand what ML is but my impression is "machine" just means "automation" which has nothing to do with "learning"