Course: Essentials of Probability and Statistical Inference IV

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Lecture Materials

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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)