Courses with significant overlap with this course:

Semester of last offering:

Date of approval: dd-mmm-yyyy

Prerequisites:  

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