Ensemble Learning for AI Developers: Learn Bagging, Stacking, and Boosting Methods with Use Cases

by Mayank Jain and Alok Kumar

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Use ensemble learning techniques and models to improve your machine learning results.
Ensemble Learning for AI Developers starts you at the beginning with an historical overview and explains key ensemble techniques and why they are needed. You then will learn how to change training data using bagging, bootstrap aggregating, random forest models, and cross-validation methods. Authors Kumar and Jain provide best practices to guide you...

Format:Paperback

Language:English

ISBN:1484259394

ISBN13:9781484259399

Release Date:June 2020

Publisher:Apress

Length:136 Pages

Weight:0.50 lbs.

Dimensions:0.3" x 6.1" x 9.2"

Related Subjects

Computers Computers & Technology

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Ensemble Learning for AI Developers: Learn Bagging, Stacking, and Boosting Methods with Use Cases

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