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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 played by features. The use of established terminology is balanced with the introduction of new and useful concepts, and summaries of relevant background material are provided with pointers for revision if necessary. These features ensure Machine Learning will set a new standard as an introductory textbook.
ebook,Peter Flach,Machine Learning The Art and Science of Algorithms that Make Sense of Data,Cambridge University Press,Computer Vision Pattern Recognition,Apprentissage automatique - Manuels scolaires,COMPUTERS / Computer Vision Pattern Recognition,Computer Applications,Computer Books General,Computer Vision Pattern Recognition,Computer/General,Computers,Computers - General Information,Great Britain/British Isles,Machine learning,Non-Fiction,Pattern recognition,Scholarly/Graduate,Textbooks (Various Levels),UNIVERSITY PRESS,COMPUTERS / Computer Vision Pattern Recognition,Computers - General Information,Computers,Computer Books General,Machine learning,Pattern recognition

Machine Learning The Art and Science of Algorithms that Make Sense of Data eBook Peter Flach Reviews :

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 played by features. The use of established terminology is balanced with the introduction of new and useful concepts, and summaries of relevant background material are provided with pointers for revision if necessary. These features ensure Machine Learning will set a new standard as an introductory textbook.

ebook,Peter Flach,Machine Learning The Art and Science of Algorithms that Make Sense of Data,Cambridge University Press,Computer Vision Pattern Recognition,Apprentissage automatique - Manuels scolaires,COMPUTERS / Computer Vision Pattern Recognition,Computer Applications,Computer Books General,Computer Vision Pattern Recognition,Computer/General,Computers,Computers - General Information,Great Britain/British Isles,Machine learning,Non-Fiction,Pattern recognition,Scholarly/Graduate,Textbooks (Various Levels),UNIVERSITY PRESS,COMPUTERS / Computer Vision Pattern Recognition,Computers - General Information,Computers,Computer Books General,Machine learning,Pattern recognition

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Product details File Size 15322 KB Print Length 410 pages Simultaneous Device Usage Up to 4 simultaneous devices, per publisher limits Publisher Cambridge University Press; 1 edition (September 20, 2012) Publication Date September 20, 2012 Sold by  Services LLC Language English ASIN B00P82T41Q

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