Introduction to Aa 19 20 Lecture 15
Exploring Aa 19 20 Lecture 15 reveals several interesting facts. Introduction to unsupervised learning. Data visualization and feature selection.
Aa 19 20 Lecture 15 Comprehensive Overview
Bayesian Decision theory. Maximum a posteriori estimation. Decisions and costs. Empirical Risk Minimization. Decision theory. Probably Approximately Correct Learning. VC dimension and shattering. The DeVane
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Summary & Highlights for Aa 19 20 Lecture 15
- How far can productivity be pushed to produce more surplus-value? How should we calculate the rate of exploitation of labor?
- Multiclass classification. Bootstrapping. Bias-variance decomposition and tradeoff.
- Classification. Linear separability and discriminants. Logistic Regression. Using linear classifiers in higher dimensions.
- 00:00 Web of Clues Forensic entomology: Insects have inhabited our planet for 250 million years, but we are only beginning to ...
- Lazy learning. K-NN. Kernel regression and kernel density estimation.
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