Course: Introduction to Machine Learning

Instructor: Prof. Yen-Yu Lin

Introduction

Introduction to Machine Learning

Office Hours

Tuesday 4:20 pm ~ 5:20 pm at EC701

Please contact us by the following information:

Grading Policy

  • 5 homework assignments (60% = 12% x 5), see HW READEME
  • Final exam (40%)

Syllabus

Week Date Topic Remarks
1 09/13 Introduction to Machine Learning
2 09/20 Linear Model for Regression
3 09/27 Linear Model for Classification I
4 10/04 Linear Model for Classification II HW1 announce
5 10/11 Neural Networks
6 10/18 Dimensionality Reduction HW2 announce
7 10/25 Ensemble Method I HW1 due
8 11/01 Ensemble Method II HW2 due, HW3 announce
9 11/08 Kernel method I
10 11/15 Kernel method II HW3 due, HW4 announce
11 11/22 Clustering
12 11/29 Deep Neural Networks (DNN) and Convolutional Neural Networks (CNN) HW4 due, Final_proj announce if we can't have the exam
13 12/06 Attention and Transformers HW5 announce
14 12/13 Generative Adversarial Networks and Meta Learning
15 12/20 Guest Lectures (tentative) HW5 due
16 12/27 Final exam