Machine Learning with R

Key Features

Book Description

What you will learn

• Harness the power of R to build common machine learning algorithms with realworld data science applications
• Get to grips with techniques in R to clean and prepare your data for analysis and visualize your results
• Discover the different types of machine learning models and learn what is best to meet your data needs and solve data analysis problems
• Classify your data with Bayesian and nearest neighbour methods
• Predict values using R to build decision trees, rules, and support vector machines
• Forecast numeric values with linear regression and model your data with neural networks
• Evaluate and improve the performance of machine learning models
• Learn specialized machine learning techniques for text mining, social network data, and big data

Who this book is for

Perhaps you already know a bit about machine learning but have never used R, or perhaps you know a little R but are new to machine learning. In either case, this book will get you up and running quickly. It would be helpful to have a bit of familiarity with basic programming concepts, but no prior experience is required.