Catalog Description:
Machine learning approaches using Bayesian statistics. Graphical models, directed and undirected models, learning and inference. Hidden Markov models, Linear Dynamical systems, Kalman filtering and smoothing, message passing algorithms. Junction Tree, factor graphs, sum-product, hierarchical Bayesian modeling, Expectation-Maximisation, and Variational Approximation techniques.
Credits:
(3+0+0) 3 ECTS 10
| Link | Year | Semester | Course Page | Instructor | Course Schedule | Lab Schedule | PS Schedule |
|---|---|---|---|---|---|---|---|
| view | 2018 | Fall | Ali Taylan Cemgil | WWW 234 BM B5 | BM B5 | BM B5 | |||
| view | 2017 | Spring | Course Page | Ali Taylan Cemgil | WWW 234 BM B5 | BM B5 | BM B5 | ||
| view | 2015 | Fall | Course Page | Ali Taylan Cemgil | |||
| view | 2014 | Fall | Course Page | Ali Taylan Cemgil | |||
| view | 2013 | Fall | Course Page | Ali Taylan Cemgil | |||
| view | 2012 | Fall | Course Page | Ali Taylan Cemgil | |||
| view | 2011 | Fall | Course Page | Ali Taylan Cemgil | |||
| view | 2010 | Fall | Course Page | Ali Taylan Cemgil |