Written as a tutorial to explore and understand the power of R for
machine learning. This practical guide that covers all of the need
to know topics in a very systematic way. For each machine learning
approach, each step in the process is detailed, from preparing the
data for analysis to evaluating the results. These steps will build
the knowledge you need to apply them to your own data science
tasks. Intended for those who want to learn how to use R's machine
learning capabilities and gain insight from your data. Perhaps you
already know a bit about machine learning, but have never used R;
or perhaps you know a little R but are new to machine learning. In
either case, this book will get you up and running quickly. It
would be helpful to have a bit of familiarity with basic
programming concepts, but no prior experience is required.
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