Probabilistic Graphical Models 3: Learning Course
by Coursera
Master learning in probabilistic graphical models with Stanford University. Learn parameter and structure estimation, EM algorithm, and more.
Why this course
- Comprehensive and mathematically rigorous treatment of PGM learning methods
- High-quality lectures from a leading expert in the field
- Programming assignments reinforce theoretical concepts effectively
- Covers both Bayesian and Markov network learning in depth
