EE3001 - Machine Learning (Fall 2024)

Basic Information

Lectures

All course materials will be shared via this page.

Index Date Topic Lecture Notes Homework
00 Sept 03, 2024 Introduction Lec00-Introduction.pdf
01 Sept 10, 2024 Review of Mathematics I Lec01-MathematicalReview.pdf HW01.pdf
02 Sept 12, 2024 Review of Mathematics II
03 Sept 19, 2024 Linear Regression I Lec02-LinearRegression.pdf
04 Sept 24, 2024 Linear Regression II
05 Sept 26, 2024 Bias-Variance Decomposition Lec03-BiasVarianceDecomposition.pdf HW02.pdf
06 Oct 08, 2024 Convex Sets I Lec04-ConvexSets.pdf
07 Oct 10, 2024 Convex Sets II
08 Oct 15, 2024 Separation Theorems I Lec05-SeparationTheorems.pdf
09 Oct 17, 2024 Separation Theorems II
10 Oct 22, 2024 Convex Functions I Lec06-ConvexFunctions.pdf
11 Oct 24, 2024 Convex Functions II HW03.pdf
12 Oct 29, 2024 Subdifferential I Lec07-Subdifferential.pdf
13 Nov 05, 2023 Subdifferential II HW04.pdf
14 Nov 07, 2023 Convex Optimization Problems I Lec08-ConvexOptimizationProblems.pdf
15 Nov 12, 2023 Convex Optimization Problems II
16 Nov 14, 2023 Decision Tree Lec09-DecisionTree.pdf