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Machine learning : the art and science of algorithms that make sense of data / Peter Flach.

By: Material type: TextTextLanguage: English Publisher: Cambridge : Cambridge University Press, 2012Description: xvii, 396 pages illustrations 25 cmContent type:
  • text
Media type:
  • unmediated
Carrier type:
  • volume
ISBN:
  • 9781107096394
  • 1107096391
  • 9781107422223
  • 1107422221
Subject(s): Genre/Form: DDC classification:
  • 006.31 23
LOC classification:
  • Q325.5 .F53 2012
Other classification:
  • Pud
Contents:
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.
Abstract: '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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Item type Current library Call number Status Date due Barcode
Book (loan) Campus Karlskrona 006.3 Available 080041486800
Book (loan) Campus Karlskrona 006.3 Available 080047626402
Book (loan) Campus Karlskrona 006.3 Available 080047624376
Book (Same day loan) Campus Karlskrona Referens 006.3 Available 080047624375
Book (loan) Campus Karlskrona 006.3 Available 080041486801

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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