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

• [*] 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

• [*] 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

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.