Machine Learning With R

Machine Learning With R is a book that begins with a brief introduction to the principles of the programming language R. It also does a recap on Vectors, Data Frames and Factors, helping the readers refresh their knowledge on basic commands, programming theories and concepts.

Machine Learning With R helps you understand the application of Machine-Learning methods using R. It enables you to get an insight into the real world applications through its elaborate examples and illustrations. Most of the algorithms in this book are explained in the simplest and easy-to-understand way. The book has chapters on Evaluation and Improving Model Performance and Specialised Machine Learning Topics.

This book is apt for people who have learnt Machine Learning but haven’t used R before and even for those who know R but are not too familiar with Machine Learning. This is mainly because the book gradually takes you deeper into the subject, with each chapter covering everything you need to know to help you understand the subject in depth.

Machine Learning With R is written by Brett Lantz and was published by Packt Publishing Limited in 2013. This book is an imported edition and is available in paperback.

Key Features:

• This book has explained the subject of Machine Learning from the very basics and progresses to discuss every detail a person needs to know about Machine learning and the importance of R.
• It is hence a guide that can be useful to both an expert and beginners to the subject.