GWU

CS 4364/6364

Introduction to Machine Learning, Spring 2022

GWU Computer Science

Schedule

How to read:

Spring 2022

Date Topic Due
Week 1
Tues 01/11 and Thurs 01/13 Introduction: Syllabus, introduction to course
Lecture 0: Introduction to machine learning, project selection and discussion, environment setup 		Pick homework groups of four students (post to Ed)
Project 0: Environment setup (due 01/17 11:59pm)
Optional: Group project proposal (due 01/19 at 11:59pm)
Date Topic Due
Week 2
Tues 01/18 and Thurs 01/20 Lecture 1: classification: decision trees
Lecture 2: classification: ensembles 		Homework 1 (due 01/24 at 11:59pm)
Homework 2 (due 01/26 at 11:59pm)
Date Topic Due
Week 3
Tues 01/25 and Thurs 01/27 Lecture 3: classification practical issues: dataset engineering
Lecture 4: classification practical issues: model training and evaluation 		Homework 3 (due 01/31 at 11:59pm)
Homework 4 (due 02/02 at 11:59pm)
Date Topic Due
Week 4
Tues 02/01 and Thurs 02/03 Lecture 5: Exam 1 Tuesday
sample Exam 1

Lecture 6: Go over Exam 1, begin Project 1 (or group project) 		Individual Project 1: Tabular data and RandomForests (due 02/14 11:59pm)

Group project: under the Project 1 that covers grading rubric through "14. Discuss and implement how you will handle any dataset imbalance." Include the modified grading rubric for all items up to this point if you are using one. (due 02/14 11:59pm on BB using Project 1 link)
Date Topic Due
Week 5
Tues 02/08 and Thurs 02/10 Lecture 7: Regression, Linear models

Lecture 8: HPC group guest lecture Gradient descent I
Date Topic Due
Week 6
Tues 02/15 and Thurs 02/17 Lecture 9: Gradient descent II
Lecture 10: Perceptrons
Date Topic Due
Week 7
Tues 02/22 and Thurs 02/24 Lecture 11: start Neural Nets
Lecture 12: continue Neural Nets
 Homework 5 (due 02/28 at 11:59pm)
Date Topic Due
Week 8
Tues 03/01 and Thurs 03/03 Lecture 13: finish Neural Nets
Lecture 14: Deep Learning: CNNs 		Homework 6 (due 03/07 at 11:59pm)
Date Topic Due
Week 9
Tues 03/08 and Thurs 03/10 Lecture 15: Guest speaker: States, sequences, Hidden Markov Models, Active learning and reinforcement learning
Lecture 16: Kernels, SVM, and KNN 		Homework 7 (due 03/21 at 11:59pm)
study for exam next week
Date Topic Due
Week 10
Tues 03/15 and Thurs 03/17 NO CLASS -- SPRING BREAK!
Date Topic Due
Week 11
Tues 03/22 and Thurs 03/24
Lecture 17: Recommendation Systems, sample Exam 2
Lecture 18: Exam 2 Thursday 		Begin Individual Project 2: CNNs (due 04/05 at 11:59pm)

Group project: submit to BB code that covers grading rubric through "48. Graph training versus validation accuracy using matplotlib.pyplot (or other). Score your model on its predictions on the holdout. Discuss why you think your results will or will not generalize." Include the modified grading rubric for all items up to this point if you are using one. (due 04/07 11:59pm -- submit code to BB under Project 2 link please)
Date Topic Due
Week 12
Tues 03/29 and Thurs 03/31 Lecture 19: Go over Exam 2, work on Project 2
Lecture 20: Unsupervised learning, NLP intro
 Homework 8 (as EXTRA CREDIT, due 04/04 at 11:59pm)
Date Topic Due
Week 13
Tues 04/05 and Thurs 04/07 Lecture 21: Natural Language Processing, BERT
Lecture 22: Testing for Machine Learning
Go over Project 3 instructions 		Begin Individual Project 3 (due 04/21 11:59pm)
Group project: Complete gradic rubric through item 57 (due 12/03 at 11:59pm), and prepare a ten minute (powerpoint) presentation of your results for following classes (due 04/21 at 11:59pm). You do not need to have items 48-57 done by this presentation, but can if you want to.
Date Topic Due
Week 14
Tues 04/12 and Thurs 04/14 Lecture 23: Generative Advesarial Networks (GANs, guest speaker)
Lecture 24: Group project demos 1 		Project 3: real world modeling (due 12/10 11:59pm)
Group project: Code submitted to BB, with markdown used to annotate each grading rubric item (copy the sentence from the rubric into your comments). (due 04/22 11:59pm under Project 3 link on BB)
Date Topic Due
Week 15
Tues 04/19 and Thurs 04/21 Lecture 25: Group project demos 2
Lecture 26: Review for final exam: sample exam 		study for final exam
Date Topic Due
Week 15
Tues 04/26 and Thurs 04/28 NO CLASS - MAKEUP DAY
NO CLASS - READING DAY 		study for final exam
Date Topic Prep
FINALS
See official final exam time for CS4364 (note: GWU may change the date/time)