An edition of Principles and Theory for Data Mining and Machine Learning
(2009)
Principles and Theory for Data Mining and Machine Learning
by Bertrand Clarke
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Subjects
Mathematical statistics, Statistics, Computer science, Bioinformatics, Optical pattern recognition, Data mining, Machine learning, Statistical methods, Statistik, Data Mining, Maschinelles Lernen, Pattern perception, Statistical Theory and Methods, Data Mining and Knowledge Discovery, Computational Biology/Bioinformatics, Probability and Statistics in Computer Science, Image and Speech Processing Signal| Edition | Availability |
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1
Principles and Theory for Data Mining and Machine Learning
Dec 02, 2011, Springer
paperback
1461417074 9781461417071
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2
Principles and Theory for Data Mining and Machine Learning
2009, Springer-Verlag New York
electronic resource /
in English
0387981349 9780387981345
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Book Details
Edition Notes
Source title: Principles and Theory for Data Mining and Machine Learning (Springer Series in Statistics)
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- Created May 11, 2020
- 2 revisions
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| February 26, 2022 | Edited by ImportBot | import existing book |
| May 11, 2020 | Created by ImportBot | Imported from amazon.com record |