Taught by Deniz Erdogmus

• Lecture 1. Review of Linear Algebra
• Lecture 2. Review of Probability
• Lecture 3. Review of Optimization
• Lecture 4. PCA. Intro to Bayesian Decision Theory
• Lecture 5. Expected Risk Minimization (ERM). Max Likelihood (ML), MAP Decision rule.
• Lecture 6. ERM. ML, MAP, P(error). ROC.
• Lecture 7. MAP with Gaussian class conditionals
• Lecture 8. Parametric estimation. ML, MAP with Poisson, Gamma
• Lecture 9. Cramer Rao lower bound. Gaussian Bayesian Estimators. Prior as regularizer.
• Lecture 10. k means. Expectation Maximization. GMM. Factor analysis

Re: ./gen.py. Usage- Generates image numbers from untarred scanned image DIR into markdown format.

python gen.py <DIR name>

Example-

python gen.py L3

Reference

https://stackoverflow.com/questions/11256433/how-to-show-math-equations-in-general-githubs-markdownnot-githubs-blog :/