Mastering Machine Learning with R
Mastering Machine Learning with R
by Cory Lesmeister
English | 2015 | ISBN: 178398452X | 397 Pages | True PDF | 4.25 MB
by Cory Lesmeister
English | 2015 | ISBN: 178398452X | 397 Pages | True PDF | 4.25 MB
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.
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.