Book Image

Mastering Machine Learning with R, Second Edition - Second Edition

Book Image

Mastering Machine Learning with R, Second Edition - Second Edition

Overview of this book

This book will teach you advanced techniques in machine learning with the latest code in R 3.3.2. You will delve into statistical learning theory and supervised learning; design efficient algorithms; learn about creating Recommendation Engines; use multi-class classification and deep learning; and more. You will explore, in depth, topics such as data mining, classification, clustering, regression, predictive modeling, anomaly detection, boosted trees with XGBOOST, and more. More than just knowing the outcome, you’ll understand how these concepts work and what they do. With a slow learning curve on topics such as neural networks, you will explore deep learning, and more. By the end of this book, you will be able to perform machine learning with R in the cloud using AWS in various scenarios with different datasets.
Table of Contents (23 chapters)
Title Page
About the Author
About the Reviewers
Packt Upsell
Customer Feedback

About the Reviewers

Doug Ortiz is an Independent Consultant who has been architecting, developing, and integrating enterprise solutions throughout his whole career. Organizations that leverage his skillset have been able to rediscover and reuse their underutilized data via existing and emerging technologies, such as Microsoft BI Stack, Hadoop, NoSQL databases, SharePoint, Hadoop, and related toolsets and technologies.

He is the founder of Illustris, LLC, and can be reached at [email protected].

Interesting aspects of his profession are listed here:

  • Has experience integrating multiple platforms and products
  • Helps organizations gain a deeper understanding and value of their current investments in data and existing resources, turning them into useful sources of information
  • Has improved, salvaged, and architected projects by utilizing unique and innovative techniques

His hobbies include yoga and scuba diving.


Miroslav Kopecky has been a passionate JVM enthusiast since the first moment he joined SUN Microsystems in 2002. He truly believes in distributed system design, concurrency and parallel computing. One of Miro’s most favorite hobbies is the development of autonomic systems. He is one of the co-authors and main contributors to the open source Java IoT/Robotics framework Robo4J.Miro is currently working on the online energy trading platform for as a senior software developer.

I would like to thank my family and my wife Tanja for the big support during reviewing this book.