Machine learning : the art and science of algorithms that make sense of data / Peter Flach.
Material type: TextPublisher: Cambridge : Cambridge University Press, 2012Description: xvii, 396 pages : color illustrations ; 25 cmContent type:- text
- unmediated
- volume
- 9781107422223
- 1107422221
- 006.31 FA.M 2012 23
- Q325.5 .F53 2012
Item type | Current library | Collection | Call number | Status | Date due | Barcode | |
---|---|---|---|---|---|---|---|
Books | The Knowledge Hub Library | Computing | 006.31 FA.M 2012 (Browse shelf(Opens below)) | Available | 190266 |
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006.3 RU.A 2022 Artificial intelligence : | 006.3 RU.A 2022 Artificial intelligence : | 006.31 BA.B 2012 Bayesian reasoning and machine learning / | 006.31 FA.M 2012 Machine learning : the art and science of algorithms that make sense of data / | 006.31 MU.M 2012 Machine learning : a probabilistic perspective / | 006.31 MU.M 2012 Machine learning : a probabilistic perspective / | 006.31 SK.I 2018 Introduction to deep learning : |
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.
'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.
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