the art and science of algorithms that make sense of data Flach, Peter A. creator text enk Cambridge Cambridge University Press 2012 monographic eng

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xvii, 396 p. : col. ill. ; 25 cm. 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. Model ensembles -- 12. Machine learning experiments -- Epilogue: where to go from here specialized Peter Flach Includes bibliographical references and index Machine learning Textbooks Apprentissage automatique Manuels scolaires 9781107096394 (hbk.) 1107096391 (hbk.) 9781107422223 (pbk.) 1107422221 (pbk.) UMP 130605 20251125095427.0 vtls000070630