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Introduction to Machine Learning. Episode 12, Recommendations with Three Types of Learning.

Contributor(s): Material type: FilmFilmPublisher number: 13413151 | KanopyPublisher: The Great Courses, 2020Publisher: [San Francisco, California, USA] : Kanopy Streaming, 2023Description: 1 online resource (streaming video file) (30 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: Recommender systems are ubiquitous, from book and movie tips to work aids for professionals. But how do they function? Look at three different approaches to this problem, focusing on Professor Littman's dilemma as an expert reviewer for conference paper submissions, numbering in the thousands. Also, probe Netflix's celebrated one-million-dollar prize for an improved recommender algorithm.
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Film

In Process Record.

Michael Littman

Originally produced by The Great Courses in 2020.

Recommender systems are ubiquitous, from book and movie tips to work aids for professionals. But how do they function? Look at three different approaches to this problem, focusing on Professor Littman's dilemma as an expert reviewer for conference paper submissions, numbering in the thousands. Also, probe Netflix's celebrated one-million-dollar prize for an improved recommender algorithm.

Mode of access: World Wide Web.

In English

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