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Introduction to statistical learning, 2nd edition
- john_yaya 5y agoThis is a fantastic book. I took Hastie and Tibsurani’s class years ago, and I still refer to this text.
- melling 5y agoLooks like a few new chapters. e.g Deep Learning I own the first edition. Made it through the entire book during the pandemic with a study partner. There are other resources: https://github.com/melling/ISLR https://github.com/melling/ISLR
- p33p 5y agoI always recommend this book when people ask me about learning statistics and ML.
- lawlorino 5y agoThis is great. I read the first edition cover to cover years ago as I first got interested in data science. 6 years and 3 data scientist jobs later and I still find myself going back from time to time.
- sn9 5y ago"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."
- d4rkp4ttern 5y agoSurprised to see it still uses R rather than Python
- dunefox 5y agoI'd like it to use Julia much more than either R or Python, tbh.
- tpoacher 5y agoI'm not. If anything, these days R is evolving much faster than Python in this field.
- methusala8 5y agoAny particular reason why you think so? Any particular field where you think R is going ahead of Python? For Statistical methods, R was always ahead.
- dr_kiszonka 5y agoI use Python daily, but I still find the way R / Tidyverse handles df manipulations much more user-friendly and efficient. My understanding is that R has a health ecosystem of packages for dealing with spectrometry data. It is not field so I am not speaking from experience.
- methusala8 5y agoAmazing book. I always recommend this book due its clear and concise explanations. I look forward to reading the second edition.
- ptr2voidStar 5y agoThanks for sharing. Not one to look a gift horse in the mouth, but would have really preferred if they had used Python/Pandas instead of R. But still, can't complain. I bought the very first edition back in my Uni days - look forward to revisiting the new edition.