This book is designed to introduce the concept of advanced business analytic approaches and would the first to cover the gamut of how to use the R programming language to apply descriptive, predictive, and prescriptive analytic methodologies for problem solving. "Hands-On Machine Learning with R?is a great resource for understanding and applying models. Each section provides descriptions and instructions using a wide range of R packages." - Max Kuhn, Machine Learning Software Engineer, RStudio "You can't find a better overview of practical machine learning methods implemented with R."- JD Long, co-author of R Cookbook "Simultaneously approachable, accessible, and rigorous, Hands-On Machine Learning with R offers a balance of theory and implementation that can actually bring you from relative novice to competent practitioner." - Mara Averick, RStudio Dev Advocate "...The book describes in detail the various methods for solving classification and clustering problems. Functions from many R libraries are compared, which enables the reader to understand their respective advantages and disadvantages. The authors have developed a clear structure to the book that includes a brief description of each model, examples of using the model for specific real-life examples, and discussion of the advantages and disadvantages of the model. This structure is one of the book's main advantages."- Igor Malyk, ISCB News, July 2020