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Machine Learning: The Art and Science of Algorithms that Make Sense of Data
Peter Flach
€ 62.47
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Description for Machine Learning: The Art and Science of Algorithms that Make Sense of Data
Paperback. Covering all the main approaches in state-of-the-art machine learning research, this will set a new standard as an introductory textbook. Num Pages: 409 pages, 120 colour illus. 15 tables. BIC Classification: UMB; UYQM. Category: (P) Professional & Vocational; (U) Tertiary Education (US: College). Dimension: 246 x 189 x 20. Weight in Grams: 888. The Art and Science of Algorithms That Make Sense of Data. 409 pages, 120 colour illus. 15 tables. Covering all the main approaches in state-of-the-art machine learning research, this will set a new standard as an introductory textbook. Cateogry: (P) Professional & Vocational; (U) Tertiary Education (US: College). BIC Classification: UMB; UYQM. Dimension: 246 x 189 x 20. Weight: 884.
As one of the most comprehensive machine learning texts around, this book does justice to the field's incredible richness, but without losing sight of the unifying principles. Peter Flach's clear, example-based approach begins by discussing how a spam filter works, which gives an immediate introduction to machine learning in action, with a minimum of technical fuss. Flach provides case studies of increasing complexity and variety with well-chosen examples and illustrations throughout. He covers a wide range of logical, geometric and statistical models and state-of-the-art topics such as matrix factorisation and ROC analysis. Particular attention is paid to the central role ... Read more
As one of the most comprehensive machine learning texts around, this book does justice to the field's incredible richness, but without losing sight of the unifying principles. Peter Flach's clear, example-based approach begins by discussing how a spam filter works, which gives an immediate introduction to machine learning in action, with a minimum of technical fuss. Flach provides case studies of increasing complexity and variety with well-chosen examples and illustrations throughout. He covers a wide range of logical, geometric and statistical models and state-of-the-art topics such as matrix factorisation and ROC analysis. Particular attention is paid to the central role ... Read more
Product Details
Publisher
Cambridge University Press
Number of pages
409
Format
Paperback
Publication date
2012
Condition
New
Number of Pages
409
Place of Publication
Cambridge, United Kingdom
ISBN
9781107422223
SKU
V9781107422223
Shipping Time
Usually ships in 4 to 8 working days
Ref
99-3
About Peter Flach
Peter Flach has more than twenty years of experience in machine learning teaching and research. He is Editor-in-Chief of Machine Learning and Program Co-Chair of the 2009 ACM Conference on Knowledge Discovery and Data Mining and the 2012 European Conference on Machine Learning and Data Mining. His research spans all aspects of machine learning, from knowledge representation and the use ... Read more
Reviews for Machine Learning: The Art and Science of Algorithms that Make Sense of Data
"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