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Lecture Notes
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> Review: Stuff You Should Know: Basics of Probability, the Central Limit Theorem, and Inference (56 KB)
> Lecture 1: Introduction to Regression and Prediction (314 KB)
> Lecture 2: Overview of Supervised Learning (435 KB)
> Lecture 3 & 4: Linear Methods for Regression (213 KB)
> Lecture 5: Linear Methods for Classification (493 KB)
> Lecture 6: Kernel Methods (515 KB)
