ECE 6254 - Lectures

Lectures

Jan 07, 2020 Syllabus Overview - The Supervised Learning Problem
Jan 09, 2020 Why supervised learning may work
Jan 14, 2020 Why supervised learning may work
Jan 16, 2020 PAC learnability and Bayes classifiers
Jan 21, 2020 Bayes and Nearest-Neighbor classifiers
Jan 23, 2020 Plugin classifiers - Naive Bayes
Jan 28, 2020 LDA and logistic regression
Jan 30, 2020 Logistic regression, Gradient Descent, Newton
Feb 04, 2020 Perceptron Learning Algorithm
Feb 06, 2020 Perceptron Learning Algorithm
Feb 11, 2020 Maximum Margin Classifiers
Feb 13, 2020 Mercer Theorem
Feb 18, 2020 Convex optimization
Feb 20, 2020 More convex optimization
Feb 25, 2020 Kernelization
Feb 27, 2020 Support vector machines and Dichotomies
Mar 03, 2020 Break points
Mar 05, 2020 Midterm exam
Mar 10, 2020 Midterm correction
Mar 12, 2020 VC bound - Part I
Mar 24, 2020 Transition to Online Instruction
Mar 26, 2020 Transition to Online instruction - Tutorial
Mar 31, 2020 VC dimension - Part II
Apr 02, 2020 Regression and Regularization
Apr 07, 2020 Lecture 25
Apr 09, 2020 Lecture 26
Apr 14, 2020 Lecture 27
Apr 16, 2020 Lecture 28
Apr 21, 2020 Lecture 29