R Machine Learning Essentials

Gain quick access to the machine learning concepts and practical applications using the R development environment

About This Book

• Build machine learning algorithms using the most powerful tools in R
• Identify business problems and solve them by developing effective solutions
• Hands-on tutorial explaining the concepts through lots of practical examples, tips and tricks

Who This Book Is For

If you want to learn how to develop effective machine learning solutions to your business problems in R, this book is for you. It would be helpful to have a bit of familiarity with basic object-oriented programming concepts, but no prior experience is required.

In Detail

R Machine Learning Essentials provides you with an introduction to machine learning with R. Machine learning finds its applications in speech recognition, search-based operations, and artificial intelligence, among other things. You will start off by getting an introduction to what machine learning is, along with some examples to demonstrate the importance in understanding the basic ideas of machine learning. This book will then introduce you to R and you will see that it is an influential programming language that aids effective machine learning. You will learn the three steps to build an effective machine learning solution, which are exploring the data, building the solution, and validating the results. The book will demonstrate each step, highlighting their purpose and explaining techniques related to them.

By the end of this book, you will be able to use the machine learning techniques effectively, identify business problems, and solve them by applying appropriate solutions.

Table of Contents

Chapter 1. Transforming Data into Actions
Chapter 2. R – A Powerful Tool for Developing Machine Learning Algorithms
Chapter 3. A Simple Machine Learning Analysis
Chapter 4. Step 1 – Data Exploration and Feature Engineering
Chapter 5. Step 2 – Applying Machine Learning Techniques
Chapter 6. Step 3 – Validating the Results
Chapter 7. Overview of Machine Learning Techniques
Chapter 8. Machine Learning Examples Applicable to Businesses