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. He covers a wide range of logical, geometric and statistical models, and state-of-the-art topics such as matrix factorization and ROC analysis. Particular attention is paid to the central role played by features.
Publication: | Cambridge University Press |
Writer: | The Art and Science of Algorithms |
ISBN: | 978-1-107-09639-4 |
Year: | 2012 |
Pages: | 416 |
Language: | English |
Size: | 9.4 MB |
Format: |