October 2017
Beginner to intermediate
572 pages
26h 1m
English
book
Machine Learning with R Cookbook - Second Edition
by AshishSingh Bhatia, Yu-Wei, Chiu (David Chiu)
Content preview from Machine Learning with R Cookbook - Second Edition
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How it works...
GAM is designed to maximize the prediction of a dependent variable, y, from various distributions by estimating the nonparametric functions of the predictors that link to the dependent variable through a link function. The notion of GAM is, where an exponential family, E, is specified for y, along with the g link function; f denotes the link function of predictors.
The gam function is contained in the mgcv package, so, install this package first and load it into an R session. Next, load the Boston dataset (Housing Values in the Suburbs of Boston) from the MASS package. From the dataset, we use dis (the weighted mean of the distance to five Boston employment centers) as the dependent variable, and nox (nitrogen oxide concentration) ...
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O’Reilly covers everything we've got, with content to help us build a world-class technology community, upgrade the capabilities and competencies of our teams, and improve overall team performance as well as their engagement.Julian F.
I wanted to learn C and C++, but it didn't click for me until I picked up an O'Reilly book. When I went on the O’Reilly platform, I was astonished to find all the books there, plus live events and sandboxes so you could play around with the technology.Addison B.
I’ve been on the O’Reilly platform for more than eight years. I use a couple of learning platforms, but I'm on O'Reilly more than anybody else. When you're there, you start learning. I'm never disappointed.Amir M.
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.