Machine Learning: The Art and Science of Algorithms That Make Sense of Data

ISBN-13: 9781107096394 / Angielski / Twarda / 2012 / 410 str.

Flach, Peter

Opis

Covering all the main approaches in state-of-the-art machine learning research, this will set a new standard as an introductory textbook.

Recenzje

"This textbook is clearly written and well organized. Starting from the basics, the author skillfully guides the reader through his learning process by providing useful facts and insight into the behavior of several machine learning techniques, as well as the high-level pseudocode of many key algorithms." < /br>Fernando Berzal, Computing Reviews

Spis treści

Prologue: a machine learning sampler; 1. The ingredients of machine learning; 2. Binary classification and related tasks; 3. Beyond binary classification; 4. Concept learning; 5. Tree models; 6. Rule models; 7. Linear models; 8. Distance-based models; 9. Probabilistic models; 10. Features; 11. In brief: model ensembles; 12. In brief: machine learning experiments; Epilogue: where to go from here; Important points to remember; Bibliography; Index.