book
Mastering Machine Learning with R - Second Edition
by Cory Lesmeister, Doug Ortiz, Vikram Dhillon, Miroslav Kopecky
April 2017
Beginner to intermediate
420 pages
9h 58m
English
Content preview from Mastering Machine Learning with R - Second Edition
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What this book covers
Here is a list of changes from the first edition by chapter:
Chapter 1, A process for success, has the flowchart redone to update an unintended typo and add additional methodologies.
Chapter 2, Linear Regression – the Blocking and Tackling of Machine Learning, has the code improved, and better charts have been provided; other than that, it remains relatively close to the original.
Chapter 3, Logistic Regression and Discriminant Analysis, has the code improved and streamlined. One of my favorite techniques, multivariate adaptive regression splines, has been added; it performs well, handles non-linearity, and is easy to explain. It is my base model, with others becoming "challengers" to try and outperform it.
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