Machine learning : the art and science of algorithms that make sense of data /
'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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| Language: | eng |
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Cambridge ; New York : Cambridge University Press,
2012
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| _version_ | 1826453562613301248 |
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| author | Flach, Peter A. |
| author_facet | Flach, Peter A. |
| author_sort | Flach, Peter A. |
| collection | OCEAN |
| description | '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. |
| first_indexed | 2024-03-05T12:40:13Z |
| format | |
| id | KOHA-OAI-TEST:483426 |
| institution | Universiti Teknologi Malaysia - OCEAN |
| language | eng |
| last_indexed | 2024-03-05T12:40:13Z |
| publishDate | 2012 |
| publisher | Cambridge ; New York : Cambridge University Press, |
| record_format | dspace |
| spelling | KOHA-OAI-TEST:4834262020-12-19T17:17:50ZMachine learning : the art and science of algorithms that make sense of data / Flach, Peter A. Cambridge ; New York : Cambridge University Press,2012.eng'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.Includes bibliographical references (p. 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.PSZJBL Machine learningURN:ISBN:9781107096394 (hbk.)URN:ISBN:1107096391 (hbk.)URN:ISBN:9781107422223 (pbk.)URN:ISBN:1107422221 (pbk.) |
| spellingShingle | Machine learning Flach, Peter A. Machine learning : the art and science of algorithms that make sense of data / |
| title | Machine learning : the art and science of algorithms that make sense of data / |
| title_full | Machine learning : the art and science of algorithms that make sense of data / |
| title_fullStr | Machine learning : the art and science of algorithms that make sense of data / |
| title_full_unstemmed | Machine learning : the art and science of algorithms that make sense of data / |
| title_short | Machine learning : the art and science of algorithms that make sense of data / |
| title_sort | machine learning the art and science of algorithms that make sense of data |
| topic | Machine learning |
| work_keys_str_mv | AT flachpetera machinelearningtheartandscienceofalgorithmsthatmakesenseofdata |