Machine Learning (CS4487)
-
Part 11 - High-Level and Low-Level Vision Applications
-
Part 10 - Neural Networks and Deep Learning Part 2
-
Part 9 - Neural Networks and Deep Learning
-
Part 8 - Principal Component Analysis
-
Part 7 - The Expectation Maximization Algorithm & Linear Dimensionality Reduction
-
Part 6 - Robust, Non-Linear Regression and Clustering
-
Part 5 - Regression
-
Part 4 - Duality and SVM
-
Part 3 - Optimization and Convexity
-
Part 2 - Generative VS. Discriminative Models
-
Part 1 - Introduction