Ensemble Learning for AI Developers

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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 ...
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pdf
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44.99 £
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 ...
Read more
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  • Formats: pdf
  • ISBN: 9781484259405
  • Publication Date: 18 Jun 2020
  • Publisher: Apress
  • Product language: English
  • Drm Setting: DRM