01978cam a22003617a 4500 17609682 20170105102416.0 130131s2012 enka b 001 0 eng d 2012289353 GBB254843 bnb 016098961 Uk 9781107096394 (hbk.) 1107096391 (hbk.) 9781107422223 (pbk.) 1107422221 (pbk.) (OCoLC)ocn795181906 UKMGB eng UKMGB BTCTA OCLCO BDX YDXCP CDX ZWZ EYM TEF JHE MUU DLC lccopycat Q325.5 .F53 2012 006.31 23 Flach, Peter A. Machine learning :the art and science of algorithms that make sense of data the art and science of algorithms that make sense of data / Peter Flach. Cambridge ; New York : Cambridge University Press, 2012. xvii, 396 p. : col. ill. ; 25 cm. Includes bibliographical references (p. 367-381) and index. 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. 'Machine Learning' brings together all the state-of-the-art methods for making sense of data. With hundreds of worked examples and explanatory figures, it explains the principles behind these methods in an intuitive yet precise manner and will appeal to novice and experienced readers alike. Machine learning Textbooks. Apprentissage automatique Manuels scolaires. ram 7 cbc copycat 2 ncip 20 y-gencatlg ddc BK 13201 13201 0 0 0 0 NFIC CL CL AI 2015-05-25 Allied Book Company 5889.10 5 2 006.31 FLA SEECS013322 2021-07-08 2021-03-10 2021-03-10 2015-05-23 BK