" . . . Matloff delivers a well-balanced book for advanced beginners. Besides the mathematical formulas, he also presents many chunks of R code, and if the reader is able to read R code, the formulas and calculations become clearer. Due to the computational R code, the well-written Appendix, and an overall clear English, the book will help students and autodidacts. Matloff has written a textbook of the best kind for such a broad topic."
~ Jochen Kruppa, Biometric Journal
". . . the book is well suitable for a wide audience: For practitioners interested in applying the methodology, for students in statistics as well as economics/social sciences and computer science. Even in more mathematically oriented classes it can be used as a complimentary text to the usual theoretic textbooks deepening students ability to interpret and question statistical results.
~ Claudia Kirch, Magdeburg
"This is an application-oriented book introducing frequently used classification and regression methods and the principles behind them. This book tries to keep a balance between theory and practice. It not only elaborates the theories of statistical regression and classification, but also provides large amount of real world examples and R codes to help the reader practice what they learned. As stated in the preface, the targeted readers are data analysts and college students. The style of the book fits well to the anticipated audience."
~ Quanquan Gu, University of Virginia
"I consider this book as very useful for the practitioner, the instructor and the student. It contains a wealth of material, both conceptual and practical, and above all stimulates the reader to think by him/herself, without being misled by recipes."
~Ricardo Maronna, Statistical Papers
