Data Mining Algorithms in C++ : Data Patterns and Algorithms for Modern Applications
Language: English
Published by Apress, 2017
- Softcover
- New
Seller: GreatBookPrices, Columbia, MD, U.S.A.GreatBookPrices
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- Title
- Data Mining Algorithms in C++ : Data Patterns and Algorithms for Modern Applications
- Author
- Masters, Timothy
- Publisher
- Apress
- Publication year
- 2017
- Condition
- New
- Binding
- Soft cover
- Language
- English
- ISBN 10
- 148423314X
- ISBN 13
- 9781484233146
- 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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GreatBookPrices
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