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An Introduction To Statistical Learning: With Applications In R (2014)

by Gareth James(Favorite Author)

4.58 of 5 Votes: 5

ISBN

1461471370 (ISBN13: 9781461471370)

languge

English

genre

Humor

publisher

Springer

review 1: I took a Machine Learning class during my last semester. This is the book that was used for the course (we also used Elements of Statistical Learning as the secondary text). I loved it. I thought the explanations were great as well as the exercises. I took the online course offered through Stanford at the same time and got to watch Trevor Hastie & Rob Tibshirani themselves. The videos were hilarious and informative. I'd highly recommend reading the book as well as taking the online course.
review 2: It isn't often that you pick up a statistical text book to browse and find yourself so absorbed that you keep reading for seven hours straight. Lots of "ah hah!" moments for me. Everything is clearly laid out: how, when, and why you might use each of the methods cov... moreered, how to test your models, and the basic logic (but not the complicated maths) behind how they work. To top it off, clear worked examples are given in R, along with problem sets to get your brain engaged. Possibly probability distributions, data transformations and residual tests could be covered in a little more detail, but otherwise, I highly recommend it for scientists who are not statisticians but who want to beef up their statistical toolset and ability to analyse data. less

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