UC Berkeley Machine Learning (CS 189) Resources
Discussion
- Discussion 2 slides. (perceptron, norm, complexity)
- Discussion 3 slides. (logistic regression)
- Discussion 4 slides. (linear regression, logistic regression, bias & variance)
- Discussion 5 slides. (logistic regression)
- Discussion 6 slides. (PCA, LDA, generative)
- Discussion 7 slides. (bias variance decomposition)
- Discussion 8 slides. (midterm)
- Discussion 9 slides. (decision trees)
- Discussion 10 slides. (decision trees / random forests)
- Discussion 11 slides. (neural nets)