Machine learning and R language

This book is available in English electronic version: Machinelearning with R-second Edition [Ebook].pdf(included source)

Evaluation Book: entry-level good book, introduced a variety of machine learning methods, all with r related to the implementation of the package, the case is very detailed, theory and examples combined.

Directory

Chapter I. Introduction TO Machine learning

Chapter II Management and understanding of data

Chapter III Lazy Learning--using nearest neighbor classification

The fourth chapter probabilistic learning--naive Bayesian classification

The fifth chapter divide and conquer--apply decision tree and rule to classify

The sixth chapter predicts the numerical data--regression method

The seventh black box Method--neural network and support vector machine

The eighth chapter explores the model--shopping basket analysis based on association rules

Nineth Chapter Search Data grouping--k mean clustering

The tenth chapter evaluation of model performance

The 11th chapter improves the performance of the model

Chapter 12th Other machine learning topics

Machine learning and R language