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

By: Flach, Peter AMaterial type: Text

TextPublisher: Cambridge ; New York : Cambridge University Press, 2012Description: xvii, 396 p. : col. ill. ; 25 cmISBN: 9781107096394 (hbk.); 1107096391 (hbk.); 9781107422223 (pbk.); 1107422221 (pbk.)Subject(s): Machine learning -- Textbooks | Apprentissage automatique -- Manuels scolairesDDC classification: 006.31 LOC classification: Q325.5 | .F53 2012

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 location	Home library	Collection	Shelving location	Call number	Status	Date due	Barcode	Item holds
Book	Central Library (CL)	Central Library (CL)	NFIC	First Floor - Artificial Intelligence/Data Mining	006.31 FLA (Browse shelf)	Checked out	07/08/2021	SEECS013322

Total holds: 0

Browsing Central Library (CL) shelves, Shelving location: First Floor - Artificial Intelligence/Data Mining Close shelf browser

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Previous	006.31 ANT Computational learning theory : an introduction	006.31 BAN Genetic programming, an introduction : on the automatic evolution of computer programs and its applications	006.31 CRI An introduction to Support Vector Machines: and other kernel-based learning methods	006.31 FLA Machine learning :the art and science of algorithms that make sense of data	006.31 FOR Data Smart: using data science to transform information into insight	006.31 GOO Deep learning /	006.31 GOO Deep learning /	Next

Includes bibliographical references (p. 367-381) and index.

'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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