Author Description

Find out how to build smarter machine learning systems with R. Follow this three module course to become a more fluent machine learning practitioner. About This Book • Build your confidence with R and find out how to solve a huge range of data-related problems • Get to grips with some of the most important machine learning techniques being used by data scientists and analysts across industries today • Don't just learn – apply your knowledge by following featured practical projects covering everything from financial modeling to social media analysis Who This Book Is For Aimed for intermediate-to-advanced people (especially data scientist) who are already into the field of data science What You Will Learn • Get to grips with R techniques to clean and prepare your data for analysis, and visualize your results • Implement R machine learning algorithms from scratch and be amazed to see the algorithms in action • Solve interesting real-world problems using machine learning and R as the journey unfolds • Write reusable code and build complete machine learning systems from the ground up • Learn specialized machine learning techniques for text mining, social network data, big data, and more • Discover the different types of machine learning models and learn which is best to meet your data needs and solve your analysis problems • Evaluate and improve the performance of machine learning models • Learn specialized machine learning techniques for text mining, social network data, big data, and more In Detail R is the established language of data analysts and statisticians around the world. And you shouldn't be afraid to use it... This Learning Path will take you through the fundamentals of R and demonstrate how to use the language to solve a diverse range of challenges through machine learning. Accessible yet comprehensive, it provides you with everything you need to b