Solve real-world data problems with R and machine learningKey Features* Third edition of the bestselling, widely acclaimed R machine learning book, updated and improved for R 3.6 and beyond* Harness the power of R to build flexible, effective, and transparent machine learning models* Learn quickly with a clear, hands-on guide by experienced machine learning teacher and practitioner, Brett LantzBook DescriptionMachine learning, at its core, is concerned with transforming data into actionable knowledge. R offers a powerful set of machine learning methods to quickly and easily gain insight from your data.Machine Learning with R, Third Edition provides a hands-on, readable guide to applying machine learning to real-world problems. Whether you are an experienced R user or new to the language, Brett Lantz teaches you everything you need to uncover key insights, make new predictions, and visualize your findings.This new 3rd edition updates the classic R data science book to R 3.6 with newer and better libraries, advice on ethical and bias issues in machine learning, and an introduction to deep learning. Find powerful new insights in your data; discover machine learning with R.What you will learn* Discover the origins of machine learning and how exactly a computer learns by example* Prepare your data for machine learning work with the R programming language* Classify important outcomes using nearest neighbor and Bayesian methods* Predict future events using decision trees, rules, and support vector machines* Forecast numeric data and estimate financial values using regression methods* Model complex processes with artificial neural networks — the basis of deep learning* Avoid bias in machine learning models* Evaluate your models and improve their performance* Connect R to SQL databases and emerging big data technologies such as Spark, H2O, and TensorFlowWho this book is forData scientists, students, and other practitioners who want a clear, accessible guide to machine learning with R.