August 2018
Intermediate to advanced
378 pages
9h 9m
English
Content preview from R Deep Learning Essentials - Second Edition
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Setting up your R environment
Before you begin your deep learning journey, the first step is to install R, which is available at https://cran.r-project.org/. When you download R and use it, only a few core packages are installed by default, but new packages can be added by selecting from a menu option or by a single line of code. We will not go into detail on how to install R or how to add packages, we assume that most readers are proficient in these skills. A good integrated development environment (IDE) for working with R is essential. By far the most popular IDE, and my recommendation, is RStudio, which can be downloaded from https://www.rstudio.com/. Another option is Emacs. An advantage of both Emacs and RStudio is that they are available ...
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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.