April 2017
Beginner to intermediate
420 pages
9h 58m
English
book
Mastering Machine Learning with R - Second Edition
by Cory Lesmeister, Doug Ortiz, Vikram Dhillon, Miroslav Kopecky
Content preview from Mastering Machine Learning with R - Second Edition
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Regularization and classification
The regularization techniques applied above will also work for classification problems, both binomial and multinomial. Therefore, let's not conclude this chapter until we apply some sample code on a logistic regression problem, specifically the breast cancer data from the prior chapter. As in regression with a quantitative response, this can be an important technique to utilize data sets with high dimensionality.
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I'm always learning. So when I got on to O'Reilly, I was like a kid in a candy store. There are playlists. There are answers. There's on-demand training. It's worth its weight in gold, in terms of what it allows me to do.