Machine Running

by Peter Fletcher

Machine RunningThe Art and Science of Algorithms for Understanding Data The Art and Science of Algorithms for Understanding Data This book is one of the most comprehensive machine learning books and justifies the incredible richness of machine learning without leaving the view of unity. Based on a clear example, Peter Platchs explanation begins by explaining how spam filters work. This approach provides an immediate introduction of practical machine learning with minimal technical knowledge. This book covers a wide range of topics in logical, geometric, and statistical models and covers recent topics such as matrix factorization and ROC curve analysis. Particular attention was given to the central role that features play in machine learning. This book will establish a new standard as a tutorial - And related examples form an integral part of this book. The contents in the box provide background information and guidance for review. The conclusions of the chapters include abstracts and additional referenced documents - Readers can easily find the contents of the book through the chapter titled Key points to remember in the back.

Paperback

Published January 27, 2016