What this book covers

Chapter 1, Transforming Data into Actions, shows you how new technologies allow you to solve business problems with a data-driven approach.

Chapter 2, R – A Powerful Tool for Developing Machine Learning Algorithms, explains why R is a great option for machine learning, and covers the basics of the software.

Chapter 3, A Simple Machine Learning Analysis, shows you a simple example of machine learning solutions.

Chapter 4, Step 1 – Data Exploration and Feature Engineering, shows you how to clean and transform the data before using machine learning algorithms.

Chapter 5, Step 2 – Applying Machine Learning Techniques, shows you how to apply machine learning algorithms to solve the problem.

Chapter 6, Step 3 – Validating the Results, shows you how to measure an algorithm's accuracy in order to tune its parameters.

Chapter 7, Overview of Machine Learning Techniques, presents the main branches of machine learning algorithms.

Chapter 8, Machine Learning Examples Applicable to Businesses, shows you how to solve a business problem using machine learning.