These lecture notes cover a mixture of topics I chose to talk about during the discussion section I teach. The course website with all the complete resources is https://people.eecs.berkeley.edu/~jrs/189/.
- Discussion 1:
$k$ -fold cross validation and basic model selection (not included) - Discussion 2: Math review: linear algebra, probability (not included)
- Discussion 3: Significance of eigenvalues in gradient descent (pdf)
- Discussion 4: Linear Discriminant Analysis (LDA) (pdf, demo)
- Discussion 5: Linear Regression (pdf, demo)
- Discussion 6: Least-Norm Solution of Least Squares Problem (pdf, demo)