Introduction to statistical learning, 2nd edition

This is a fantastic book. I took Hastie and Tibsurani’s class years ago, and I still refer to this text.

I always recommend this book when people ask me about learning statistics and ML.

"In this second edition of ISL, we have greatly expanded the set of topics covered. In particular, the second edition includes new chapters on deep learning (Chapter 10), survival analysis (Chapter 11), and multiple testing (Chapter 13). We have also substantially expanded some chapters that were part of the first edition: among other updates, we now include treatments of naive Bayes and generalized linear models in Chapter 4, Bayesian additive regression trees in Chapter 8, and matrix completion in Chapter 12. Furthermore, we have updated the R code throughout the labs to ensure that the results that they produce agree with recent R releases."

I'd like it to use Julia much more than either R or Python, tbh.

Amazing book. I always recommend this book due its clear and concise explanations.

I look forward to reading the second edition.