R Machine Learning By Example

Understand the fundamentals of machine learning with R and build your own dynamic algorithms to tackle complicated real-world problems successfully

Key Features

• Get to grips with the concepts of machine learning through exciting real-world examples
• Visualize and solve complex problems by using power-packed R constructs and its robust packages for machine learning
• Learn to build your own machine learning system with this example-based practical guide

Book Description

What you will learn

• Utilize the power of R to handle data extraction, manipulation, and exploration techniques
• Use R to visualize data spread across multiple dimensions and extract useful features
• Explore the underlying mathematical and logical concepts that drive machine learning algorithms
• Dive deep into the world of analytics to predict situations correctly
• Implement R machine learning algorithms from scratch and be amazed to see the algorithms in action
• Write reusable code and build complete machine learning systems from the ground up
• Solve interesting real-world problems using machine learning and R as the journey unfolds
• Harness the power of robust and optimized R packages to work on projects that solve real-world problems in machine learning and data science

Who this book is for

If you are interested in mining useful information from data using state-of-the-art techniques to make data-driven decisions, this is a go-to guide for you. No prior experience with data science is required, although basic knowledge of R is highly desirable. Prior knowledge in machine learning would be helpful but is not necessary.