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Introduction to Machine Learning. Episode 6, Bayesian Models for Probability Prediction.

Contributor(s): Material type: FilmFilmPublisher number: 13413139 | KanopyPublisher: The Great Courses, 2020Publisher: [San Francisco, California, USA] : Kanopy Streaming, 2023Description: 1 online resource (streaming video file) (29 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: A program need not understand the content of an email to know with high probability that it's spam. Discover how machine learning does so with the Naive Bayes approach, which is a simplified application of Bayes' theorem to a simplified model of language generation. The technique illustrates a very useful strategy: going backward from effects (in this case, words) to their causes (spam).
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Michael Littman

Originally produced by The Great Courses in 2020.

A program need not understand the content of an email to know with high probability that it's spam. Discover how machine learning does so with the Naive Bayes approach, which is a simplified application of Bayes' theorem to a simplified model of language generation. The technique illustrates a very useful strategy: going backward from effects (in this case, words) to their causes (spam).

Mode of access: World Wide Web.

In English

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