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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 :/