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Overview

Learn how to use R to apply powerful machine learning methods and gain an insight into real-world applications

  • Harness the power of R for statistical computing and data science

  • Use R to apply common machine learning algorithms with real-world applications

  • Prepare, examine, and visualize data for analysis

  • Understand how to choose between machine learning models

  • Packed with clear instructions to explore, forecast, and classify data

In Detail

Machine learning, at its core, is concerned with transforming data into actionable knowledge. This fact makes machine learning well-suited to the present-day era of "big data" and "data science". Given the growing prominence of R—a cross-platform, zero-cost statistical programming environment—there has never been a better time to start applying machine learning. Whether you are new to data science or a veteran, machine learning with R offers a powerful set of methods for quickly and easily gaining insight from your data.

"Machine Learning with R" is a practical tutorial that uses hands-on examples to step through real-world application of machine learning. Without shying away from the technical details, we will explore Machine Learning with R using clear and practical examples. Well-suited to machine learning beginners or those with experience. Explore R to find the answer to all of your questions.

How can we use machine learning to transform data into action? Using practical examples, we will explore how to prepare data for analysis, choose a machine learning method, and measure the success of the process.

We will learn how to apply machine learning methods to a variety of common tasks including classification, prediction, forecasting, market basket analysis, and clustering. By applying the most effective machine learning methods to real-world problems, you will gain hands-on experience that will transform the way you think about data.

"Machine Learning with R" will provide you with the analytical tools you need to quickly gain insight from complex data.

Subscriber Reviews

Average Rating: 5 out of 5 rating Based on 3 Ratings

"Good Book" - by chakri on 26-JUN-2014
Reviewer Rating: 1 star rating2 star rating3 star rating4 star rating5 star rating
Good book for machine learning algorithms
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"A Wonderful Starter of Machine Learning" - by Michael Chen on 22-DEC-2013
Reviewer Rating: 1 star rating2 star rating3 star rating4 star rating5 star rating
I'd tried several books on machine learning recently.  Some of them need very strong mathematic knowledge to read.  While still some are poorly written, the demo codes in those books are often buggy or bad in style.  This one, Machine Learning with R, just reads refreshingly.  Although having no previous experiences with R language, I can follow the demo codes without hassles.  (I run all the codes on a Debian linux laptop.)  The algorithms are also explained in a simple and clear style.  No tough mathematics inside.  I'll recommend anyone beginning study of machine learning to read this book.
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Downloading the example code for this book

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