CS 490/590 - Intro to Machine Learning

2023 - Spring

An introduction to the concepts of machine learning.

WEEK 1

Intro to ML

Linear Algebra Review

WEEK 2

MLK DAY

Probability Review

CH2: Statistical Learning

WEEK 3

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

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

WEEK 6

Project Proposal (Due: Wed., 2/22 - Week 7)

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

WEEK 7

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

Proj Midpoint Presentation (Due: Wed., 3/22 - Week 11)

Proj Midpoint Report (Due: Wed., 3/24 - Week 11)

WEEK 8

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

WEEK 9

SPRING BREAK

WEEK 10

MIDTERM EXAM REVIEW

MIDTERM EXAM

WEEK 11

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

MIDPOINT PRSENETATIONS

Proj Check-in (Due: Wed., 4/12 - Week 14)

WEEK 12

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

WEEK 13

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

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

WEEK 14

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

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

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

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

Proj Final Presentation (Due: Mon., 4/24 - Week 16) Proj Final Report (Due: Wed., 4/26 - Week 16)

WEEK 15

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

Detailed Project Check-in Grading Rubric

WEEK 16

FINAL PROJECT POSTER PRESENTATION

Detailed Project Poster Grading Rubric, Detailed Project Report Grading Rubric

WEEK 17

FINAL EXAM: 10:00am - 11:40am, Tuesday, May 2, 2023, Science East 1230

CS 490/590 - Intro to Machine Learning

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