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

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Ensemble Learning for AI Developers: Learn Bagging, Stacking, and Boosting Methods with Use Cases - Kumar, Alok, and Jain, Mayank
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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 in combining models and using tools to boost performance of your machine learning ...

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Ensemble Learning for AI Developers: Learn Bagging, Stacking, and Boosting Methods with Use Cases 2020, Apress, Berkeley, CA

ISBN-13: 9781484259399

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