- 01. Sebastian Introduction
- 02. Welcome Back
- 03. Intro to Estimation
- 04. Review of Discrete Probability
- 05. Expected Value
- 06. Variance
- 07. Playing with Probabilities Notebook
- 08. Probability Density Functions
- 09. Uniform Distribution Notebook
- 10. Uniform and Gaussian Distributions
- 11. Estimating Parameters from Data
- 12. Multivariate Distributions
- 13. 2D Gaussian Notebook
- 14. Joint and Marginal Distributions
- 15. Correlation and Independence
- 16. Conditional Distributions
- 17. Applying Bayes' Rule
- 18. Approaches to Estimation
- 19. Intro to Least Squares
- 20. Deriving the Maximum Likelihood Estimator
- 21. Fitting a Line with Linear Least Squares
- 22. Least Squares Notebook
- 23. Recursive Estimation
- 24. Recursive Estimation Notebook
- 25. The Problem with non-Linearities
- 26. Calculating the Jacobian
- 27. Non-Linear Least Squares Notebook
- 28. Conclusion