Exploring Amat502 Lecture 17
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- Naive Bayes Classification, with a preliminary review of probability à la Kolmogorov and Bayes.
- Lecture 17
- Introduction to probability and distributions. Quick context of determinism versus randomness in physics before moving onto ...
- Review of Linear Classifiers and Intro to Support Vector Machines. Separating Hyperplane Theorem, convex hulls, support ...
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Dimensionality Reduction via Principal Component Analysis (PCA) Introduction to clustering with the K-Means algorithm. Discussion of the broader problems of clustering going back to the ancient ... MIT 6.849 Geometric Folding Algorithms: Linkages, Origami, Polyhedra, Fall 2012 View the complete Path-following interior point, first order methods (gradient descent).
Lecture 17
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