Open Daily: 10am - 10pm | Alley door pickup 10am - 7pm 3038 Hennepin Ave Minneapolis, MN
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  • Open Daily: 10am - 10pm
    Alley-side Pickup: 10am - 7pm

    3038 Hennepin Ave Minneapolis, MN
    612-822-4611

Open Daily: 10am - 10pm | Alley-side Pickup: 10am - 7pm
3038 Hennepin Ave Minneapolis, MN
612-822-4611
Assessing and Improving Prediction and Classification: Theory and Algorithms in C++

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

Masters, Timothy

Paperback

DatabasesGeneral ComputersProbability & Statistics

ISBN10: 1484233352
ISBN13: 9781484233351
Publisher: Apress
Published: Dec 20 2017
Pages: 517
Weight: 2.04
Height: 1.09 Width: 7.00 Depth: 10.00
Language: English
Assess the quality of your prediction and classification models in ways that accurately reflect their real-world performance, and then improve this performance using state-of-the-art algorithms such as committee-based decision making, resampling the dataset, and boosting. This book presents many important techniques for building powerful, robust models and quantifying their expected behavior when put to work in your application.

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