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Mathematical Foundations of Machine Learning at UChicago

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Lecture 13 Fall 2025: Support Vector Machines

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Lecture 14 Fall 2025: Gradient Descent and Stochastic Gradient Descent

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Lecture 12 Fall 2025: Pseudoinverse and Kernel Ridge Regression

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Lecture 11 Fall 2025: PageRank and Ridge Regression

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Lecture 10 Fall 2025: Data Leakage and Matrix Completion

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Lecture 9 Fall 2025: Principal Components Analysis

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Lecture 8 Fall 2025: Singular Value Decomposition

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Lecture 7 Fall 2025: Introduction to the Singular Value Decomposition

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Lecture 6 Fall 2025: Finding Orthogonal Bases

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Lecture 5 Fall 2025: Subspaces and Bases

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Lecture 4 Fall 2025: Least Squares and Optimization

Lecture 3 Fall 2025: Least Squares

Lecture 2 Fall 2025: Vectors and Matrices

Lecture 1 Part II Fall 2025: Introduction Continued

Lecture 1 Part I Fall 2025: Introduction