Assessing and Improving Prediction and Classification Theory and Algorithms in C++ /

Carry out practical, real-life assessments of the performance of prediction and classification models written in C++. This book discusses techniques for improving the performance of such models by intelligent resampling of training/testing data, combining multiple models into sophisticated committee...

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Bibliographic Details
Main Author: Masters, Timothy (Author, http://id.loc.gov/vocabulary/relators/aut)
Corporate Author: SpringerLink (Online service)
Format: Electronic eBook
Language:English
Published: Berkeley, CA : Apress : Imprint: Apress, 2018.
Edition:1st ed. 2018.
Subjects:
Online Access:Full Text via HEAL-Link

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