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Introduction to Machine Learning. Episode 9, The Fundamental Pitfall of Overfitting.

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Material type: Film

FilmPublisher number: 13413145 | KanopyPublisher: The Great Courses, 2020Publisher: [San Francisco, California, USA] : Kanopy Streaming, 2023Description: 1 online resource (streaming video file) (28 minutes): digital, .flv file, soundContent type:

two-dimensional moving image

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computer

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online resource

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Education films.

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Michael LittmanSummary: Having covered the five fundamental classes of machine learning in the previous episodes, now focus on a risk common to all: overfitting. This is the tendency to model training data too well, which can harm the performance on the test data. Practice avoiding this problem using the diabetes dataset from episode 3. Hear tips on telling the difference between real signals and spurious associations.

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Michael Littman

Originally produced by The Great Courses in 2020.

Having covered the five fundamental classes of machine learning in the previous episodes, now focus on a risk common to all: overfitting. This is the tendency to model training data too well, which can harm the performance on the test data. Practice avoiding this problem using the diabetes dataset from episode 3. Hear tips on telling the difference between real signals and spurious associations.

Mode of access: World Wide Web.

In English