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CS679A - Machine Learning For Computer Vision

IITK

Prerequisites:

3-0-0-9

Course Contents

  1. Probability basics and common probability distributions.
  2. Fitting Probability models (ML, MAP, Bayesian).
  3. Normal distribution.
  4. Regression
  5. Classification.
  6. Graphical models.
  7. Temporal models.

Topics

Current Course Information

Instructor(s):

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Tutors for each section:

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