Machine Learning with R Cookbook. Analyze data and build predictive models - Second Edition

Big data has become a popular buzzword across many industries. An increasing number of people have been exposed to the term and are looking at how to leverage big data in their own businesses, to improve sales and profitability.

• Being able to extract useful information from data is another task, and a much more challenging one.

However, collecting, aggregating, and visualizing data is just one part of the equation. Machine Learning with R Cookbook, Second Edition uses a practical approach to teach you how to perform machine learning with R.

• Each chapter is divided into several simple recipes.

• In this book, you will first learn to set up the R environment and use simple R commands to explore data.

Through the step-by-step instructions provided in each recipe, you will be able to construct a predictive model by using a variety of machine learning packages. The next topic covers how to perform statistical analysis with machine learning analysis and assess created models, covered in detail later on in the book.

• You'll also learn how to integrate R and Hadoop to create a big data analysis platform.

• With Machine Learning with R Cookbook, machine learning has never been easier.

The detailed illustrations provide all the information required to start applying machine learning to individual projects.