ml19

Pick anything below and it plays in the bar at the foot of the window — and keeps playing while you go on browsing the directory.

1. 1▶Lecture 4.1: Classification | k-NN | ML19Machine Learning Class (Winter 2019-2020)Notes
   +Watch later
2. 2▶Lecture 4.2: Cross-Validation | Decision Trees | ML19Machine Learning Class (Winter 2019-2020)Notes
   +Watch later
3. 3▶Lecture 5.1: Decision Trees (cont.) | ML19Machine Learning Class (Winter 2019-2020)Notes
   +Watch later
4. 4▶Lecture 5.2: Random Forest | ML19Machine Learning Class (Winter 2019-2020)Notes
   +Watch later
5. 5▶Lecture 6.1: Bayes Theorem | Statistical Decision Theory | ML19Machine Learning Class (Winter 2019-2020)Notes
   +Watch later
6. 6▶Lecture 6.2: Statistical Decision Theory (cont.) | Multivariate Normal | QDA | ML19Machine Learning Class (Winter 2019-2020)Notes
   +Watch later
7. 7▶Lecture 7.1: Linear Regression | ML19Machine Learning Class (Winter 2019-2020)Notes
   +Watch later
8. 8▶Lecture 7.2: Linear Regression (cont.) | ML19Machine Learning Class (Winter 2019-2020)Notes
   +Watch later
9. 9▶Lecture 8.1: Regularized Linear Regression | Ridge | ML19Machine Learning Class (Winter 2019-2020)Notes
   +Watch later
10. 10▶Lecture 8.2: Regularized Linear Regression | Lasso | ML19Machine Learning Class (Winter 2019-2020)Notes
    +Watch later
11. 11▶Lecture 9.1: Gaussian Process Regression | ML19Machine Learning Class (Winter 2019-2020)Notes
    +Watch later
12. 12▶Lecture 9.2: Gaussian Process Regression (cont.) | ML19Machine Learning Class (Winter 2019-2020)Notes
    +Watch later
13. 13▶Lecture 11.1: Perceptron | ML19Machine Learning Class (Winter 2019-2020)Notes
    +Watch later
14. 14▶Lecture 11.2: Perceptron (cont.) | Multi-Layer Perceptron | ML19Machine Learning Class (Winter 2019-2020)Notes
    +Watch later
15. 15▶Lecture 12.2: Projection Trick | Function Counting Theorem | ML19Machine Learning Class (Winter 2019-2020)Notes
    +Watch later