Introduction to Amat502 Lecture 23
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Amat502 Lecture 23 Comprehensive Overview
Lecture 23 Review of Linear Classifiers and Intro to Support Vector Machines. Separating Hyperplane Theorem, convex hulls, support ... Heavy-light decomposition, O(log2n) amortized analysis of link-cut trees, min cost max flow, min cost circulation, shortest ...
MIT 8.962 General Relativity, Spring 2020 Instructor: Scott Hughes View the complete
Summary & Highlights for Amat502 Lecture 23
- MIT 6.890 Algorithmic Lower Bounds: Fun with Hardness Proofs, Fall 2014 View the complete
- Introduction to clustering with the K-Means algorithm. Discussion of the broader problems of clustering going back to the ancient ...
- OOP applied to mortgages. Context from the 2008 housing crash. Introduction to plotting with matplotlib.
- External memory model: linked list, matrix multiplication, B-tree, buffered repository tree, sorting.
- Lecture 23
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