Related Books
Language: en
Pages: 364
Pages: 364
Type: BOOK - Published: 2015-10-20 - Publisher: Springer
This book presents machine learning models and algorithms to address big data classification problems. Existing machine learning techniques like the decision tr
Language: en
Pages: 426
Pages: 426
Type: BOOK - Published: 2020-10-01 - Publisher: "O'Reilly Media, Inc."
Over the next few decades, machine learning and data science will transform the finance industry. With this practical book, analysts, traders, researchers, and
Language: en
Pages: 710
Pages: 710
Type: BOOK - Published: 2014-07-25 - Publisher: CRC Press
Comprehensive Coverage of the Entire Area of ClassificationResearch on the problem of classification tends to be fragmented across such areas as pattern recogni
Language: en
Pages: 415
Pages: 415
Type: BOOK - Published: 2014-05-19 - Publisher: Cambridge University Press
Introduces machine learning and its algorithmic paradigms, explaining the principles behind automated learning approaches and the considerations underlying thei
Language: en
Pages: 853
Pages: 853
Type: BOOK - Published: 2020-10-20 - Publisher: MIT Press
The second edition of a comprehensive introduction to machine learning approaches used in predictive data analytics, covering both theory and practice. Machine