01731cam a22003257a 4500 17609682 20141216150759.0 130131r20122014xxkadk fr2b f001 0 eng d 2012289353 9781107096394 (hbk.) 1107096391 (hbk.) 9781107422223 (pbk.) 1107422221 (pbk.) UKMGB eng UKMGB BTCTA OCLCO BDX YDXCP CDX ZWZ EYM TEF JHE MUU DLC EG-ScBUE 006.31 22 FLA Flach, Peter A. 36945 Machine learning : the art and science of algorithms that make sense of data / Peter Flach. 1st ed., reprinted. Cambridge, United Kingdom : Cambridge University Press, 2012. xvii, 396 p. : charts, forms, tables ; 25 cm. Reprint of the 2012 ed. Index : p. 383-396. Bibliography : p. 367-381. 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 36946 ENGELC COMSCI December2014 reading book 34232 ddc 006.31 FLA 18786 18758 0 0 ddc 0 0 Baccah MAIN MAIN LOW 2014-12-16 purchase 376.00 21291 2 16 006.31 FLA 000037201 2025-07-15 00:00:00 2019-04-09 468.00 BB