Welcome to CSE/STAT 416: Introduction to Machine Learning! 🎉

Registration

Do not email the course staff or instructor requesting an add-code for the course. The course staff do not have any add-codes. Please see the Registration FAQ for answers to common registration questions.

Announcements

Jun 17

Welcome to CSE/STAT 416 🎉

Information about the class posted including:

  • Links to the course website (here) and other resources
  • Information about the class structure. No pre-class work for the first class.
  • Office hours start Monday, June 24th.
See the full announcement on Ed!

This Week (at a glance)

Monday (08/12)

  • Last Lecture Content!

Wednesday (08/14)

  • Final Exam!

Thursday (08/15)

  • Enjoy break! 😎

Calendar

Info

This is a rough sketch of the quarter and things are subject to change. We can accurately predict the past, but predicting the future is hard!

Lessons

Anything listed in the “Lesson” materials for a day should be done before attending class that day. We recommend doing all the slides before the “Pause and Think” slide. Each class session will start by reviewing what was in the Lesson and then most time will be spent on working on practice problems in the Lessons. See the syllabus for more info!

Topic Homeworks Learning Reflections
Module 0 - Introduction / Regression
Mon 06/17
LES 00 Regression

Note: Normally there is are pre-class materials that you should complete before attending class. For the first day there are none! You should complete the Checkpoint after class (due before the next class).

Note (2): The CSE/STAT 416 Training links for today are extremely useful resources to make sure you are prepared for the class. The course will be in Python, so Resources 1 and 2 will be very helpful if you are less familiar with the language. Resource 3 covers the mathematical background we expect students to be comfortable with in the course. You are expected to complete these trainings, but they are not factored into your grade. We encourage you to work on them now before assignments are released.

pre-class: lesson megathread
in-class: pdf annotated pptx
post-class: checkpoint
resources:
Videos
Extra resources
CSE/STAT 416 Training: 1) Python Practice, 2) numpy Practice, 3) Math/Probability/Statistics Practice
Out
HW0
House Prices
Due 11:59 pm 		Out
LR0
Due 11:59 pm
Tue 06/18
Wed 06/19 Holiday: Juneteenth
Thu 06/20
SEC 00 Course Infrastructure; Pandas
resources: handout
Videos
Fri 06/21
Module 1 - Assessing Performance
Mon 06/24
LES 01 Assessing Performance; Bias + Variance Tradeoff
pre-class: lesson megathread
in-class: pdf annotated pptx demo
post-class: checkpoint
resources:
Videos
Advanced resources
Out
LR1
Due 11:59 pm
Tue 06/25
Wed 06/26
LES 02 Regularization: Ridge
pre-class: lesson megathread
in-class: pdf annotated pptx demo
post-class: checkpoint
resources:
Videos
Out
HW1
Ridge and LASSO
Due 11:59 pm
Thu 06/27
SEC 01 Ridge and LASSO; Code
resources: handout
Videos
Fri 06/28
Module 2 - Classification
Mon 07/01
LES 03 Regularization: LASSO, Feature selection. Classification Introduction
pre-class: lesson megathread
in-class: pdf annotated pptx demo
post-class: checkpoint
resources:
Videos
Out
LR2
Due 11:59 pm
Tue 07/02
Wed 07/03
LES 04 Classification / MLE / Logistic Regression
pre-class: lesson megathread
in-class: pdf annotated pptx demo
post-class: checkpoint
resources:
Videos
Out
HW2
Sentiment Analysis with Logistic Regression
Due 11:59 pm
Thu 07/04
SEC 02 Classification ; Logistic Regression
resources: handout
Videos
Fri 07/05
Module 3 - Societal Impact, Bias, and Fairness
Mon 07/08
LES 05 Bias and Fairness, Tradeoffs
pre-class: lesson megathread
in-class: pdf annotated pptx
post-class: checkpoint
resources:
Videos
Out
LR3
Due 11:59 pm
Tue 07/09
Wed 07/10
LES 06 Naive Bayes / Decision Trees
pre-class: lesson megathread
in-class: pdf annotated pptx
post-class: checkpoint
resources:
Videos
Out
HW3
Loan Safety with Decision Trees
Due 11:59 pm
Thu 07/11
SEC 03 Trees and Ensemble Methods + Midterm Review
resources: Tree/Ensemble Handout Midterm Handout
Fri 07/12
Module 4 - Trees/Ensemble Methods
Mon 07/15
LES 07 Ensemble Methods
pre-class: lesson megathread
in-class: pdf annotated pptx
post-class: checkpoint
resources:
Videos
Out
EXAM
Midterm
Due 11:59 pm 		Out
LR4
Due 11:59 pm
Tue 07/16
Wed 07/17
LES 08 Neural Networks
pre-class: lesson megathread
in-class: pdf annotated pptx
post-class: checkpoint
resources:
Videos
Out
HW4
Deep Learning with PyTorch
Due 11:59 pm
Thu 07/18
SEC 04 Deep Learning
resources: handout
Videos
Fri 07/19
Module 5 - Deep Learning
Mon 07/22
LES 09 Deep Learning; Convolutional Neural Networks
pre-class: lesson megathread
in-class: pdf annotated pptx
post-class: checkpoint
resources:
Videos
Out
LR5
Due 11:59 pm
Tue 07/23
Wed 07/24
LES 10 Precision + Recall / kNN, Locality Sensitive Hashing
pre-class: lesson megathread
in-class: pdf annotated pptx
post-class: checkpoint
resources:
Videos
Out
HW5
ML Practice on Kaggle
Due 11:59 pm
Thu 07/25
SEC 05 Kaggle Setup
resources: handout
Videos
Fri 07/26
Module 6 - Non-Parametric Methods + Clustering
Mon 07/29
LES 11 Kernel Methods; Locality Sensitive Hashing + Clustering
pre-class: lesson megathread
in-class: pdf annotated pptx
post-class: checkpoint
resources:
Videos
Out
LR6
Due 11:59 pm
Tue 07/30
Wed 07/31
LES 12 Hierarchical Clustering
pre-class: lesson megathread
in-class: pdf annotated pptx
post-class: checkpoint
resources:
Videos
Out
HW6
k-means with Text Data
Due 11:59 pm
Thu 08/01
SEC 06 Numpy ; Variable Encoding ; Clustering
resources: handout
Videos
Fri 08/02
Module 7 - Recommender Systems
Mon 08/05
LES 13 PCA / Recommender Systems Intro
pre-class: lesson megathread
in-class: pdf annotated pptx
post-class: checkpoint
resources:
Videos
Advanced resources
Out
LR7
Due 11:59 pm
Tue 08/06
Wed 08/07
LES 14 Recommender Systems / Matrix Factorization
pre-class: lesson megathread
in-class: pdf annotated pptx
post-class: checkpoint
resources:
Videos
Out
HW7
Tweet Topic Modelling
Due 11:59 pm
Thu 08/08
SEC 07 PCA ; Recommender Systems ; Final Review
resources: handout
Videos
Fri 08/09
Module 8 - Course Wrap Up
Mon 08/12
LES 15 Course Wrap Up; Next Steps; Generative AI
pre-class: lesson megathread
in-class: pdf annotated pptx
post-class: checkpoint
resources:
Videos
Out
LR8
Due 11:59 pm
Tue 08/13
Wed 08/14
LES 16 Final Exam
pre-class: lesson megathread
in-class: final details
post-class: checkpoint
resources: videos extra resources
EXAM
Final Exam
At 5:00 PM
Fri 08/16