Mastering Machine Learning with R

Master machine learning techniques with R to deliver insights for complex projects

Key Features

Book Description

Machine learning is a field of Artificial Intelligence to build systems that learn from data. Given the growing prominence of R—a cross-platform, zero-cost statistical programming environment—there has never been a better time to start applying machine learning to your data. The book starts with introduction to Cross-Industry Standard Process for Data Mining. It takes you through Multivariate Regression in detail. Moving on, you will also address Classification and Regression trees. You will learn a couple of “Unsupervised techniques”. Finally, the book will walk you through text analysis and time series. The book will deliver practical and real-world solutions to problems and variety of tasks such as complex recommendation systems. By the end of this book, you will gain expertise in performing R machine learning and will be able to build complex ML projects using R and its packages.

What you will learn

• Gain deep insights to learn the applications of machine learning tools to the industry
• Manipulate data in R efficiently to prepare it for analysis
• Master the skill of recognizing techniques for effective visualization of data
• Understand why and how to create test and training data sets for analysis
• Familiarize yourself with fundamental learning methods such as linear and logistic regression
• Comprehend advanced learning methods such as support vector machines
• Realize why and how to apply unsupervised learning methods

Who this book is for