Machine learning : the art and science of algorithms that make sense of data /
Peter Flach
- Cambridge : Cambridge University Press, 2012
- xvii, 396 p. : col. ill. ; 25 cm.
Includes bibliographical references 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