















Data Mining and Machine Learning
Fundamental Concepts and Algorithms
New to the second edition of this advanced text are several chapters on regression, including neural networks and deep learning.
Mohammed J. Zaki (Author), Wagner Meira, Jr (Author)
9781108473989, Cambridge University Press
Hardback, published 30 January 2020
776 pages
25.7 x 18.5 x 4.5 cm, 1.6 kg
'World-class experts, providing an encyclopedic coverage of all datamining topics, from basic statistics to fundamental methods (clustering, classification, frequent itemsets), to advanced methods (SVD, SVM, kernels, spectral graph theory, deep learning). For each concept, the book thoughtfully balances the intuition, the arithmetic examples, as well the rigorous math details. It can serve both as a textbook, as well as a reference book.' Christos Faloutsos, Carnegie Mellon University, Pennsylvania, and winner of the ACM SIGKDD Innovation Award
The fundamental algorithms in data mining and machine ]
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Details:Data Mining and Machine Learning
Fundamental Concepts and Algorithms
New to the second edition of this advanced text are several chapters on regression, including neural networks and deep learning.
Mohammed J. Zaki (Author), Wagner Meira, Jr (Author)
9781108473989, Cambridge University Press
Hardback, published 30 January 2020
776 pages
25.7 x 18.5 x 4.5 cm, 1.6 kg
'World-class experts, providing an encyclopedic coverage of all datamining topics, from basic statistics to fundamental methods (clustering, classification, frequent itemsets), to advanced methods (SVD, SVM, kernels, spectral graph theory, deep learning). For each concept, the book thoughtfully balances the intuition, the arithmetic examples, as well the rigorous math details. It can serve both as a textbook, as well as a reference book.' Christos Faloutsos, Carnegie Mellon University, Pennsylvania, and winner of the ACM SIGKDD Innovation Award
The fundamental algorithms in data mining and machine ]
Price now:
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Data Mining and Machine Learning
Fundamental Concepts and Algorithms
New to the second edition of this advanced text are several chapters on regression, including neural networks and deep learning.
Mohammed J. Zaki (Author), Wagner Meira, Jr (Author)
9781108473989, Cambridge University Press
Hardback, published 30 January 2020
776 pages
25.7 x 18.5 x 4.5 cm, 1.6 kg
'World-class experts, providing an encyclopedic coverage of all datamining topics, from basic statistics to fundamental methods (clustering, classification, frequent itemsets), to advanced methods (SVD, SVM, kernels, spectral graph theory, deep learning). For each concept, the book thoughtfully balances the intuition, the arithmetic examples, as well the rigorous math details. It can serve both as a textbook, as well as a reference book.' Christos Faloutsos, Carnegie Mellon University, Pennsylvania, and winner of the ACM SIGKDD Innovation Award
The fundamental algorithms in data mining and machine ]
General | |
|---|---|
format | hardcover |
Language | english |
type | textbook |
Brand | Cambridge University Press |
artist | not specified |
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