Machine Learning: Advanced Decision Trees

Machine Learning: Advanced Decision Trees

Website or Online Data - 2017
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If you're working towards an understanding of machine learning, it's important to know how to work with decision trees. In this course, explore advanced concepts and details of decision tree algorithms. Learn about the QUEST algorithm and how it handles nominal variables, ordinal and continuous variables, and missing data. Explore the C5.0 algorithm and review some of its key features such as global pruning and winnowing. Plus, dive into a few advanced topics that apply to all decision trees, such as boosting and bagging.
Work towards a mastery of machine learning by exploring advanced decision tree algorithm concepts. Learn about the QUEST algorithm, the C5.0 algorithm, and a few advanced topics that apply to all decision trees.
Publisher: Carpenteria, CA : lynda.com, 2017
Copyright Date: ©2017
Branch Call Number: eResearch
Additional Contributors: lynda.com (Firm)

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