Preface
Machine learning, at its core, describes algorithms that transform data into actionable intelligence. This fact makes machine learning well suited to the present-day era of big data. Without machine learning, it would be nearly impossible to make sense of the massive streams of information that are now all around us.
The cross-platform, zero-cost statistical programming environment called R provides an ideal pathway to start applying machine learning. R offers powerful but easy-to-learn tools that can assist you with finding insights in your own data.
By combining hands-on case studies with the essential theory needed to understand how these algorithms work, this book delivers all the knowledge you need to get started with machine learning and to apply its methods to your own projects.
