TY  - BOOK
AU  - Flach,Peter A.
TI  - Machine learning: the art and science of algorithms that make sense of data 
SN  - 9781107422223 
AV  - Q325.5 .F53 2012
U1  - 006.31 FA.M 2012 23
PY  - 2012///
CY  - Cambridge : 
PB  - Cambridge University Press, 
KW  - Machine learning
KW  - Textbooks
N1  - Includes bibliographical references (pages 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
N2  - '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
ER  -