November 2017
Beginner
286 pages
8h 13m
English
book
Statistics for Data Science
by James C. Mott, Rajprasath Subramanian, Shaikh Salamatullah, James D. Miller, Vijayakumar Ramdoss
Content preview from Statistics for Data Science
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Using R to apply machine learning techniques to a database
We've used the R programming language pretty much throughout this book since it is used by most data scientists and is very easy for people just getting started in statistics to comprehend. In this chapter, we'll again use R, this time to suggest how machine learning techniques might be applicable to a data or database developer.
We'll use a post offered by Will Stanton, a data scientist, to get us started. In his post, he offers a clever example of creating a simple classification model in R, using the caret package.
The R caret package Will uses in his example is very easy to use, containing wrapper functions that allow you to use the exact same functions for training and predicting ...
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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.