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Machine Learning: an algorithmic perspective
Traditional books on machine learning can be divided into two groups - those aimed at advanced undergraduates or early postgraduates with reasonable mathematical knowledge and those that are primers on how to code algorithms. The field is ready for a text that not only demonstrates how to use the al...
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Lenguaje: | eng |
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CRC Press
2009
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Acceso en línea: | http://cds.cern.ch/record/1338551 |
_version_ | 1780921879655088128 |
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author | Marsland, Stephen |
author_facet | Marsland, Stephen |
author_sort | Marsland, Stephen |
collection | CERN |
description | Traditional books on machine learning can be divided into two groups - those aimed at advanced undergraduates or early postgraduates with reasonable mathematical knowledge and those that are primers on how to code algorithms. The field is ready for a text that not only demonstrates how to use the algorithms that make up machine learning methods, but also provides the background needed to understand how and why these algorithms work. Machine Learning: An Algorithmic Perspective is that text.Theory Backed up by Practical ExamplesThe book covers neural networks, graphical models, reinforcement le |
id | cern-1338551 |
institution | Organización Europea para la Investigación Nuclear |
language | eng |
publishDate | 2009 |
publisher | CRC Press |
record_format | invenio |
spelling | cern-13385512021-04-22T01:06:17Zhttp://cds.cern.ch/record/1338551engMarsland, StephenMachine Learning: an algorithmic perspectiveComputing and ComputersTraditional books on machine learning can be divided into two groups - those aimed at advanced undergraduates or early postgraduates with reasonable mathematical knowledge and those that are primers on how to code algorithms. The field is ready for a text that not only demonstrates how to use the algorithms that make up machine learning methods, but also provides the background needed to understand how and why these algorithms work. Machine Learning: An Algorithmic Perspective is that text.Theory Backed up by Practical ExamplesThe book covers neural networks, graphical models, reinforcement leCRC Pressoai:cds.cern.ch:13385512009 |
spellingShingle | Computing and Computers Marsland, Stephen Machine Learning: an algorithmic perspective |
title | Machine Learning: an algorithmic perspective |
title_full | Machine Learning: an algorithmic perspective |
title_fullStr | Machine Learning: an algorithmic perspective |
title_full_unstemmed | Machine Learning: an algorithmic perspective |
title_short | Machine Learning: an algorithmic perspective |
title_sort | machine learning: an algorithmic perspective |
topic | Computing and Computers |
url | http://cds.cern.ch/record/1338551 |
work_keys_str_mv | AT marslandstephen machinelearninganalgorithmicperspective |