Data Mining Algorithms in C++: Data Patterns and Algorithms for Modern Applications
Language: English
Published by Apress, 2018
- Softcover
- New

Seller: Revaluation Books, Exeter, United KingdomRevaluation Books
AbeBooks seller since January 6, 2003
Condition: New
US$ 132.46
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Add to basketItem description from seller
286 pages. 10.00x7.00x1.00 inches. In Stock.
Seller Inventory # x-148423314X
- Title
- Data Mining Algorithms in C++: Data Patterns and Algorithms for Modern Applications
- Author
- Masters, Timothy
- Publisher
- Apress
- Publication year
- 2018
- Condition
- Brand New
- Binding
- Paperback
- Language
- English
- ISBN 10
- 148423314X
- ISBN 13
- 9781484233146
- Item weight
- 0.55 kilograms
- Use Monte-Carlo permutation tests to provide statistically sound assessments of relationships present in your data
- Discover how combinatorially symmetric cross validation reveals whether your model has true power or has just learned noise by overfitting the data
- Work with feature weighting as regularized energy-based learning to rank variables according to their predictive power when there is too little data for traditional methods
- See how the eigenstructure of a dataset enables clustering of variables into groups that exist only within meaningful subspaces of the data
- Plot regions of the variable space where there is disagreement between marginal and actual densities, or where contribution to mutual information is high
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Revaluation Books
Exeter, United Kingdom
AbeBooks seller since January 6, 2003
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Edward Bowditch Ltd
Exstowe, Exton
Exeter, United Kingdom EX3 0PP
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