Mastering Machine Learning with R

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

Mastering Machine Learning with R

Cory Lesmeister

13 customer reviews
Master machine learning techniques with R to deliver insights for complex projects
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Book Details

ISBN 139781783984527
Paperback400 pages

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.

Table of Contents

Chapter 2: Linear Regression – The Blocking and Tackling of Machine Learning
Chapter 5: More Classification Techniques – K-Nearest Neighbors and Support Vector Machines

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

Authors

Table of Contents

Chapter 2: Linear Regression – The Blocking and Tackling of Machine Learning
Chapter 5: More Classification Techniques – K-Nearest Neighbors and Support Vector Machines

Book Details

ISBN 139781783984527
Paperback400 pages
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