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Lecture 11: Constrained optimization
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Lecture 10: Nonsmooth optimization
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Dynamic knowledge embedding and tracing (EDM 2020)
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Lecture 7: Introduction to Convex Functions
16:09
Lecture 6: Gradient Descent for Least Squares
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Lecture 5: Stable least squares and the closest point problem
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Lecture 4: The Singular Value Decomposition
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Lecture 3: Solving The Least Squares Problem
19:28
Lecture 2: Introduction to Least Squares
19:59
Lecture 1: Introduction to Data Science
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