CS 490/590 - Intro to Machine Learning

2024 - Spring

An introduction to the concepts of machine learning.

Tentative schedule is provided below – assignments dates and lectures will be updated as the course progresses.

WEEK 1

Intro to ML

Linear Algebra Review

WEEK 2

MLK DAY

Probability Review

CH2: Statistical Learning

WEEK 3

Project Proposal (Due: Wed., 02/07 - Week 5)

Lab 1: Ch2 - R Lab-1: Ch2 - html HW: All of CH2.4

Lab 1: Ch2 - Data - Auto.data Lab 1: Ch2 - Data - Auto.csv

WEEK 4

CH3: Linear Regression HW: CH3.7: 1-10, 14, 15

Lab 2: Ch3 - R Lab 2: Ch3 - html

WEEK 5

PROPOSAL PRESENTATIONS

CH4: Classification HW: CH4.8: 1-9,13,16

WEEK 6

Proj Midpoint Presentation (Due: Mon-Wed., 03/11 & 03/13 - Week 10)

Lab 3: Ch4 - R Lab 3: Ch4 - html

WEEK 7

CH5: Resampling Methods HW: CH5.4: 1-5

Lab 4: Ch5 - R Lab 4: Ch5 - html

WEEK 8

MIDTERM EXAM REVIEW

MIDTERM EXAM

WEEK 9

SPRING BREAK

WEEK 10

MIDPOINT PRESENTATIONS

Proj Check-in (Due: Mon., 04/01 - Week 13)

WEEK 11

CH6: Model Selection HW: CH6.6: 1-7,8,9

Lab 5: Ch6 - R Lab 5: Ch6 - html

WEEK 12

CH12: Unsupervised Learning HW: Ch12.6 1-7, 9-11

Lab 6: Ch12 - R Lab 6: Ch12 - html

CH8: Tree Based Methods HW: CH8.4: 1-6, 8, 10

Lab 7: Ch8 - R Lab 7: Ch8 - html

WEEK 13

PROJECT CHECK-IN

Proj Final Presentation (Due: Mon-Wed., 04/22 & 04/24 - Week 16)

CH9: Support Vector Methods HW: CH9.7: 1-3, 5

Lab 8: Ch9 - R Lab 8: Ch9 - html

WEEK 14

CH10: Deep Learning HW: Ch10.10: 1,4

Lab 9: Ch10 with Torch- R Lab 9: Ch10 with Torch - html

Lab 9: Ch10 with Keras - R Lab 9: Ch10 with Keras - html

CH7: Nonlinear Models HW: Ch7.9: 8,9

Lab 10: Ch7 - R Lab 10: Ch7 - html

WEEK 15

FINAL EXAM REVIEW

FINAL EXAM: Wed., Apr. 17 during class time.

WEEK 16

FINAL PROJECT PRESENTATIONS

WEEK 17