Description: Data Mining Algorithms in C++ : Data Patterns and Algorithms for Modern Applications, Paperback by Masters, Timothy, ISBN 148423314X, ISBN-13 9781484233146, Brand New, Free shipping in the US
- 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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Book Title: Data Mining Algorithms in C++ : Data Patterns and Algorithms for
Number of Pages: Xiv, 286 Pages
Language: English
Publication Name: Data Mining Algorithms in C++ : Big Data Techniques for Modern Applications
Publisher: Apress L. P.
Publication Year: 2017
Subject: Programming Languages / General, Programming / General, Probability & Statistics / General, Computer Science, Algebra / General, Databases / Data Mining, Databases / General, Compilers
Item Weight: 20.5 Oz
Type: Textbook
Subject Area: Mathematics, Computers
Item Length: 10 in
Author: Timothy Masters
Item Width: 7 in
Format: Trade Paperback