Mastering Machine Learning with R

Mastering Machine Learning with R

<p><b>Master machine learning techniques with R to deliver insights for complex projects</b></p><h2>About This Book</h2><ul><li>Get to grips with the application of Machine Learning methods using an extensive set of R packages</li><li>Understand the benefits and potential pitfalls of using machine learning methods</li><li>Implement the numerous powerful features offered by R with this comprehensive guide to building an independent R-based ML system</li></ul><h2>Who This Book Is For</h2><p>If you want to learn how to use R's machine learning capabilities to solve complex business problems, then this book is for you. Some experience with R and a working knowledge of basic statistical or machine learning will prove helpful.</p><h2>What You Will Learn</h2><ul><li>Gain deep insights to learn the applications of machine learning tools to the industry</li><li>Manipulate data in R efficiently to prepare it for analysis</li><li>Master the skill of recognizing techniques for effective visualization of data</li><li>Understand why and how to create test and training data sets for analysis</li><li>Familiarize yourself with fundamental learning methods such as linear and logistic regression</li><li>Comprehend advanced learning methods such as support vector machines</li><li>Realize why and how to apply unsupervised learning methods</li></ul><h2>In Detail</h2><p>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.</p><p>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.</p><p>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.</p><h2>Style and approach</h2><p>This is a book explains complicated concepts with easy to follow theory and real-world, practical applications. It demonstrates the power of R and machine learning extensively while highlighting the constraints.</p>