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Introduction to Machine Learning. Episode 3, Decision Trees for Logical Rules.

Contributor(s): Material type: FilmFilmPublisher number: 13413133 | KanopyPublisher: The Great Courses, 2020Publisher: [San Francisco, California, USA] : Kanopy Streaming, 2023Description: 1 online resource (streaming video file) (31 minutes): digital, .flv file, soundContent type:
  • two-dimensional moving image
Media type:
  • computer
Carrier type:
  • online resource
Subject(s): Genre/Form: Online resources: Michael LittmanSummary: Can machine learning beat a rhyming rule, taught in elementary school, for determining whether a word is spelled with an I-E or an E-I—as in "diet" and "weigh"? Discover that a decision tree is a convenient tool for approaching this problem. After experimenting, use Python to build a decision tree for predicting the likelihood for an individual to develop diabetes based on eight health factors.
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In Process Record.

Michael Littman

Originally produced by The Great Courses in 2020.

Can machine learning beat a rhyming rule, taught in elementary school, for determining whether a word is spelled with an I-E or an E-I—as in "diet" and "weigh"? Discover that a decision tree is a convenient tool for approaching this problem. After experimenting, use Python to build a decision tree for predicting the likelihood for an individual to develop diabetes based on eight health factors.

Mode of access: World Wide Web.

In English

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