Probabilistic Models and Inference

Bayesian networks, latent variable models, sampling and variational inference.

AI-320 Year 3 3 credits 5 lessons planned

Offered by HSM University · Artificial Intelligence

Course content

  1. 1Bayesian reasoningComing
  2. 2Graphical modelsComing
  3. 3Latent variables and EMComing
  4. 4Monte Carlo samplingComing
  5. 5Variational inferenceComing

Requirements

Recommended background. You can start any course at any time.

Description

Bayesian networks, latent variable models, sampling and variational inference.

Part of the Science stream, typically taken in year 3.