Data Mining Algorithms in C++: Data Patterns and Algorithms for Modern Applications
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Data Mining Algorithms in C++
- 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
The book, Data Mining Algorithms in C++: Data Patterns and Algorithms for Modern Applications [Bulk, Wholesale, Quantity] ISBN#9781484233146 in Paperback by Timothy Masters may be ordered in bulk quantities. Minimum starts at 25 copies. Availability based on publisher status and quantity being ordered.
Details
- Publisher
- Apress
- Author
- Timothy Masters
- Format
- Paperback
- Published
- Dec 19, 2017
- ISBN-13
- 9781484233146
- Pages
- 286
- Printing
- Printed on demand
Data Mining Algorithms in C++ in bulk: pricing
Volume pricing applies automatically in your cart. No codes, no account needed.
| Copies | Price per copy | You save |
|---|---|---|
| 25 – 49 | $70.39 | 12% off list |
| 50 – 99 | $69.59 | 13% off list |
| 100+ | $68.79 | 14% off list |
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