Exploring Aa 19 20 Lecture 10
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- Generative models: naive bayes, bayes. Comparing classifiers.
- Introduction to clustering. K-means and k-medoids. Expectation maximization.
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- Free Mastering AMC
- In this video, we look at how to solve 2022 AMC 10A #
In-Depth Information on Aa 19 20 Lecture 10
SVM: soft margins, kernel trick, overfitting and regularization. Assignment 1. Empirical Risk Minimization. Decision theory. Probably Approximately Correct Learning. VC dimension and shattering. Maximum Margin Classifiers. Support vector machines for linear classification. Perceptron and Multilayer Perceptron.
This video is to help students working through ACE Math PACE 1079 to be prepared to do the first check-up.
In summary, understanding Aa 19 20 Lecture 10 gives us a better perspective.