Exploring Aa 19 20 Lecture 2
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- Hierarchical Clustering. Agglomerative and Divisive Clustering.
- Classification. Linear separability and discriminants. Logistic Regression. Using linear classifiers in higher dimensions.
- Maximum Margin Classifiers. Support vector machines for linear classification.
- Welcome to the L298N Arduino tutorial. In this video, we are going to learn how to control a DC motor using an Arduino board.
- Generative models: naive bayes, bayes. Comparing classifiers.
In-Depth Information on Aa 19 20 Lecture 2
Supervised learning, minimization (least squares), polynomial regression. Introduction. Link to join CA Final FR New Batch for 2026, 2027, 2028 & Onwards Exams: https://air1ca.com/product/fr-regular-new-live-batch ... Fuzzy sets and clustering. Fuzzy c-means. Manifold learning. Second assignment.
Perceptron and Multilayer Perceptron.
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