1:15:29

15. Regression (cont.)

1:15:14

21. Generalized Linear Models

1:18:05

17. Bayesian Statistics

1:16:02

13. Regression

1:18:03

1. Introduction to Statistics

1:18:17

Stanford CS229: Machine Learning - Linear Regression and Gradient Descent | Lecture 2 (Autumn 2018)

1:16:53

20. Principal Component Analysis (cont.)

1:20:57

MIT: Machine Learning 6.036, Lecture 1: Basics (Fall 2020)