10-301 + 10-601, Spring 2024
School of Computer Science
Carnegie Mellon University
This schedule is tentative and subject to change. Please check back often.
| Date | Lecture | Readings | Announcements |
|---|---|---|---|
Classification & Regression |
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| Wed, 17-Jan | Lecture 1
:
Course Overview [Slides] [Slides (Inked)] |
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HW1 Out |
| Fri, 19-Jan |
Recitation: HW1 [Handout] [Solutions] |
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| Mon, 22-Jan | Lecture 2
:
Machine Learning as Function Approximation [Slides] [Slides (Inked)] |
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| Wed, 24-Jan | Lecture 3
:
Decision Trees [Slides] [Slides (Inked)] [Poll] |
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HW1 Due HW2 Out |
| Fri, 26-Jan |
Recitation: HW2 [Handout] [Solutions] |
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| Mon, 29-Jan | Lecture 4
:
k-Nearest Neighbors [Slides] [Slides (Inked)] [Poll] |
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| Wed, 31-Jan | Lecture 5
:
Model Selection and Experimental Design [Slides] [Slides (Inked)] [Poll] |
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| Fri, 2-Feb |
(No Recitation) |
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Linear Models |
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| Mon, 5-Feb | Lecture 6
:
Perceptron [Slides] [Slides (Inked)] [Poll] |
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HW2 Due HW3 Out |
| Wed, 7-Feb | Lecture 7
:
Linear Regression [Slides] [Slides (Inked)] [Poll] |
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| Fri, 9-Feb |
Recitation: HW3 [Handout] [Solutions] |
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| Mon, 12-Feb | Lecture 8
:
Optimization for ML [Slides] [Slides (Inked)] [Poll] |
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HW3 Due (only two grace/late days permitted) Exam 1 Practice Problems out |
| Wed, 14-Feb | Lecture 9
:
Stochastic Gradient Descent / Logistic Regression [Slides] [Slides (Inked)] [Poll] |
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| Fri, 16-Feb |
Exam 1 Review OH |
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| Mon, 19-Feb | Lecture 10
:
Feature Engineering / Regularization [Slides] [Slides (Inked)] [Poll] |
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| Mon, 19-Feb |
Exam 1 (evening exam, details will be announced on Piazza) 7p - 9p |
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HW4 Out |
Neural Networks |
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| Wed, 21-Feb | Lecture 11
:
Neural Networks [Slides] [Slides (Inked)] [Poll] |
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| Fri, 23-Feb |
Recitation: HW4 [Handout] [Solutions] |
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| Mon, 26-Feb | Lecture 12
:
Backpropagation I [Slides] [Slides (Inked)] [Poll] |
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| Wed, 28-Feb | Lecture 13
:
Backpropagation II [Slides] [Slides (Inked)] [Poll] |
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HW4 Due HW5 Out |
| Fri, 1-Mar |
Recitation: HW5 [Handout] [Solutions] |
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| Mon, 4-Mar |
(Spring Break - No Class) |
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| Tue, 5-Mar |
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| Wed, 6-Mar |
(Spring Break - No Class) |
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| Thu, 7-Mar |
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| Fri, 8-Mar |
(Spring Break - No Class) |
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Learning Theory |
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| Mon, 11-Mar | Lecture 14
:
PAC Learning [Slides] [Slides (Inked)] [Poll] |
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Societal Impacts |
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| Wed, 13-Mar | Lecture 15
:
PAC Learning / Societal Impacts of ML I [Slides] [Slides (Inked)] [Poll] |
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| Fri, 15-Mar |
Recitation: HW6 [Handout] [Solutions] |
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| Mon, 18-Mar | Lecture 16
:
Societal Impacts of ML II [Slides] [Poll] |
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HW5 Due HW6 Out, Exam 2 Practice Problems out |
Deep Learning |
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| Wed, 20-Mar | Lecture 17
:
Foundations: CNNs [Slides] [Slides (Inked)] [Poll] |
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| Fri, 22-Mar |
Exam 2 Review OH |
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| Sun, 24-Mar |
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HW6 Due (only two grace/late days permitted)
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| Mon, 25-Mar | Lecture 18
:
Foundations: RNNs [Slides] [Slides (Inked)] [Poll] |
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| Wed, 27-Mar | Lecture 19
:
Transformers and Autodiff [Slides] [Slides (Inked)] [Poll] |
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| Thu, 28-Mar |
Exam 2 (evening exam, details will be announced on Piazza) |
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HW7 Out |
| Fri, 29-Mar |
Recitation: HW7 [Handout] [Solutions] [Supplemental Material] |
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Reinforcement Learning |
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| Mon, 1-Apr | Lecture 20
:
Reinforcement Learning: MDPs [Slides] [Slides (Inked)] [Poll] |
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| Wed, 3-Apr | Lecture 21
:
Reinforcement Learning: Value/Policy Iteration [Slides] [Slides (Inked)] [Poll] |
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| Fri, 5-Apr | Lecture 22
:
Reinforcement Learning: Q-Learning / Deep RL [Slides] [Slides (Inked)] [Poll] |
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| Mon, 8-Apr |
Recitation: HW8 [Handout] [Solutions] |
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HW7 Due HW8 Out |
Learning Paradigms |
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| Wed, 10-Apr | Lecture 23
:
Dimensionality Reduction: PCA [Slides] [Slides (Inked)] [Poll] |
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| Thu, 11-Apr |
(Spring Carnival) |
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| Fri, 12-Apr |
(Spring Carnival - No Class) |
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| Sat, 13-Apr |
(Spring Carnival) |
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| Mon, 15-Apr | Lecture 24
:
K-Means / Ensemble Methods: Bagging [Slides] [Slides (Inked)] [Poll] |
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| Wed, 17-Apr | Lecture 25
:
Ensemble Methods: Boosting / Recommender Systems [Slides] [Slides (Inked)] [Poll] |
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| Fri, 19-Apr |
Recitation: HW9 [Handout] [Solutions] |
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HW8 Due HW9 Out |
| Mon, 22-Apr | Lecture 26
:
Special Topics: Pretraining, Fine-tuning, In-context Learning [Slides] [Poll] |
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Exam 3 Practice Problems out |
| Wed, 24-Apr | Lecture 27
:
Special Topics: Generative Models for Vision / Significance Testing for ML [Poll] |
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| Thu, 25-Apr |
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HW9 Due (only two grace/late days permitted)
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| Fri, 26-Apr |
Exam 3 Review OH |
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| Tue, 30-Apr |
Exam 3 (details will be announced on Piazza) 9:30a - 11:30a |
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