Machine Learning with R - Third Edition: Expert techniques for predictive modeling

Machine Learning with R: Expert techniques for predictive modeling, Third Edition

Turn big data into actionable intelligence!

Make sense of data with R, this book, and the powerful machine learning tools contained within. Discover how machine learning works and how you can use it to solve real-world problems.

For example:

• Train models to tell the difference between safe and poisonous mushrooms
• Review breast cancer screening results to detect samples with cancerous cells
• Analyze data from Space Shuttle Challenger’s stress tests to discover the fault that destroyed it
• Help health insurers identify the riskiest customer segments
• Mix the right formula for concrete for the weight and stress it will bear.

Objective and approach

This book takes a data science approach to machine learning. You will apply key machine learning approaches to a variety of data sets. It teaches the necessary practice and theory to make you a successful machine learning practitioner. Brett Lantz explains every concept and code sample clearly and simply. Each chapter covers a key machine learning concept. The book acts as both a friendly tutorial and a reference guide.

Techniques

Machine Learning with R - Third Edition covers all of the key machine learning techniques, such as:

• Nearest neighbor classification
• Bayesian methods
• Decision trees, rules, and support vector machines
• Regression
• Neural networks

It explains how to prepare data for machine learning, evaluate and improve your models, and avoid unhelpful bias.