EE3001 - Machine Learning (Fall 2021)

Basic Information

Lectures

All course materials will be shared via this page.

Index Date Topic Lecture Notes Homework
00 Sept 6, 2021 Introduction Lec00-Introduction.pdf
01 Sept 8, 2021 Linear Regression I
02 Sept 13, 2021 Linear Regression II Lec01-LinearRegression.pdf, Lec01slides.pdf HW01.pdf
03 Sept 15, 2021 Bias-Variance Decomposition Lec02-BiasVarianceDecomposition.pdf
04 Sept 18, 2021 Review of Linear Algebra
05 Sept 22, 2021 Beyesian Linear Regression I Lec03-BayesianLinearRegression.pdf
06 Sept 27, 2021 Beyesian Linear Regression II & Basics of Analysis I
07 Sept 29, 2021 Basics of Analysis II Lec04-BasicsofAnalysis.pdf HW02.pdf
08 Oct 11, 2021 Convex Sets I
09 Oct 13, 2021 Convex Sets II & Separation Theorems I Lec05-ConvexSets.pdf
10 Oct 18, 2021 Separation Theorems II Lec06-SeparationTheorems.pdf

Project