Lecture

Naive Bayes: Gaussian Discriminant Analysis

In course

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Description

This lecture covers the Naive Bayes assumption for modeling a system with 50,000 possible outcomes, extending it to non-binary features. It discusses Gaussian Discriminant Analysis, ML estimates with Laplace smoothing, and the Kernel trick to reduce computational complexity.

Instructor

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Official source

https://mediaspace.epfl.ch/media/0_8zsqbjs5

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