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Machine Learning
Peter Flach
其他書名
The Art and Science of Algorithms that Make Sense of Data
出版Cambridge University Press, 2012-09-20
主題Computers / Artificial Intelligence / GeneralComputers / Computer ScienceComputers / Artificial Intelligence / Computer Vision & Pattern RecognitionComputers / Networking / GeneralComputers / Optical Data ProcessingComputers / Data Science / Machine LearningTechnology & Engineering / Electronics / GeneralTechnology & Engineering / Signals & Signal Processing
ISBN11070963919781107096394
URLhttp://books.google.com.hk/books?id=Ofp4h_oXsZ4C&hl=&source=gbs_api
EBookSAMPLE
註釋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.