Course Materials

Week 0 - Introduction and Pipeline

Aug 28
SectionCourse Introduction
Slides
Aug 29
SectionML Pipeline
Read Chapter 1 of DDL
Quiz Slides Handout

Week 1 - Instance Based Modeling and Basic Clustering

Sep 2
SectionKNN
No Reading
Quiz Handout Slides
Lab 0 due
Sep 3
Lab Data Processing
Sep 4
SectionK-Means
No Reading
Quiz Slides Handout
Sep 5
Codelet 0 due Lab 1 due

Week 2 - Decision Trees and Intro to Linear Regression

Sep 9
SectionDecision Trees
Read Chapter 6 of Hands on Machine Learning by Aurélien Géron
Quiz Slides Handout
Sep 10
Lab Clustering
Sep 11
SectionLinear Regression I
Read Chapter 3.1.1 of Dive into Deep Learning
Slides Handout
Sep 12
Codelet 1 due Lab 2 due

Week 3 - Linear Regression and Recommender Systems

Sep 16
SectionLinear Regression II
Read Chapter 3.2-3.4 of Dive into Deep Learning
Quiz Slides Handout
Sep 17
Lab Regression and Interpretability
Sep 18
SectionRecommender Systems I
Read pp. 1-4, 8-10 (stopping at 1.3.1.1), 14 (starting at 1.3.2)-15 of Chapter 1 from Recommender Systems: The Textbook.
Quiz Handout
Sep 19
Codelet 2 due Lab 3 due

Week 4 - Recommender Systems and Classification Metrics

Sep 23
SectionRecommender Systems II and Classification Metrics
Read Chapter 21.1 and 21.3 of Dive into Deep Learning
No Quiz Handout
Sep 24
Lab Classifiers Competition
Sep 25
SectionNo Class
No Quiz
Sep 28
Lab 4 due
Codelet 3 due

Week 5 - Logistic Regression and Midterm Exam

Sep 30
SectionLogistic Regression II
Read Chapter 4.1 of Dive into Deep Learning
No Quiz Slides Handout
Oct 1
Lab Richard Maxwell Visit
Oct 2
Section
Midterm Exam

Week 5 - Guest Lecture and Feed-Forward Neural Networks

Oct 7
SectionGuest Lecture
No Reading
Oct 8
Lab Hyperparameter Tuning
Oct 9
SectionFeed-Forward Neural Networks
Re-read Chapter 4.1 and Read Chapter 5.1 of Dive into Deep Learning
Quiz Handout