This repository includes 5 of 9 programming assignments solved while taking up Coursera's Probability Graphical Model course.
Assignments were completed with GNU Octave, version 3.8.0
For more information, refer - https://www.coursera.org/specializations/probabilistic-graphical-models
Course Coverage
- Bayesian Networks
- Markov Networks
- Gibbs Sampling
- Decision Theory
- Belief Propogation Algorithms
- MAP algorithms
- Makov chain monte carlo sampling
- Metropolis Hastings Sampling
- Conditional Random Fields
- Probabilistic Inference
- Factor Graphs
- Expectation Maximization Algorithm