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...
The gam.check function first produces the smoothing parameter estimation convergence information. In this example, the smoothing parameter, Generalized Cross Validation/ Unbiased Risk Estimator (GCV/UBRE), score converges after seven iterations. The mean absolute gradient of the GCV/UBRE function at the minimum is 8.79622e-06 and the estimated rank is 10. The dimension check is to test whether the basis dimension for a smooth function is adequate. From this example, the low p-value indicates that the k is set too low. One may adjust the dimension choice for smooth by specifying the argument, k, by fitting gam to the data.
In addition to providing information regarding smoothing parameter estimation convergence, the function ...
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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.