Course Notes

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Folder: ml/wiki/weeks

10 items under this folder.

May 04, 2026
From M to VC Dimension, and Bias–Variance as the Average Case
May 04, 2026
Diagnosing Overfitting and Putting On the Brakes
May 04, 2026
Validation, Cross-Validation, and Three Principles for Honest Learning
Apr 28, 2026
From Bayesian Priors to Generalization Bounds
Apr 27, 2026
Allowing Mistakes: Soft Margins and How to Actually Solve the QP
Apr 27, 2026
Linear Regression and Why Squared Error Isn't Arbitrary
Apr 26, 2026
Solving Logistic Regression: From MLE to IRLS
Apr 26, 2026
Beyond the Line: Basis Expansion and Maximum Margin
Apr 26, 2026
Going Dual: Lagrangians, Kernels, and the Trick That Makes Them Tractable
Apr 20, 2026
What Does It Mean to Learn from Data?

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