Machine learning : the art and science of algorithms that make sense of data / Peter Flach.
Flach, Peter A.
Machine learning : the art and science of algorithms that make sense of data / Peter Flach. - Cambridge[etc.] : 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.Covering all the main approaches in state-of-the-art machine learning research, this will set a new standard as an introductory textbook.
9781107096394 (hbk.) 1107096391 (hbk.) 9781107422223 (pbk.) 1107422221 (pbk.)
2012289353
Machine learning.
Apprentissage.
Sistemas de información--Gestión
Bases de datos--Gestión
Aprendizaje automático (Inteligencia artificial)
Machine learning : the art and science of algorithms that make sense of data / Peter Flach. - Cambridge[etc.] : 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.Covering all the main approaches in state-of-the-art machine learning research, this will set a new standard as an introductory textbook.
9781107096394 (hbk.) 1107096391 (hbk.) 9781107422223 (pbk.) 1107422221 (pbk.)
2012289353
Machine learning.
Apprentissage.
Sistemas de información--Gestión
Bases de datos--Gestión
Aprendizaje automático (Inteligencia artificial)