10-301 + 10-601, Fall 2019
School of Computer Science
Carnegie Mellon University
This schedule is tentative and subject to change. Please check back often.
| Date | Lecture | Readings | Announcements |
|---|---|---|---|
Classification |
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| Mon, 26-Aug | Lecture 1
:
Course Introduction [Slides] [Video] |
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| Wed, 28-Aug | Lecture 2
:
Decision Trees [Slides] [Video] |
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HW1 out
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| Fri, 30-Aug |
Recitation: HW1 |
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| Mon, 2-Sep |
(No Class: Labor Day) |
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| Wed, 4-Sep | Lecture 3
:
Decision Trees [Slides] [Video] [Poll] |
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HW2 out HW1 due |
| Fri, 6-Sep |
Recitation: HW2 |
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| Mon, 9-Sep | Lecture 4
:
k-Nearest Neighbors [Slides] [Video] [Poll] |
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| Wed, 11-Sep | Lecture 5
:
Model Selection [Slides] [Video] [Poll] |
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| Fri, 13-Sep | Lecture 6
:
Lecture: Perceptron [Slides] [Video] [Poll] |
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Linear Models |
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| Mon, 16-Sep | Lecture 7
:
Linear Regression [Slides] [Video] [Poll] |
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| Wed, 18-Sep | Lecture 8
:
Optimization for ML / Regularization [Video] [Poll] |
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HW3 out (HW2 due Thu, Sep-19) |
| Fri, 20-Sep |
Recitation: HW3 |
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| Mon, 23-Sep | Lecture 9
:
Stochastic Gradient Descent / Probabilistic Learning [Slides] [Video] [Poll] |
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| Wed, 25-Sep | Lecture 10
:
Midterm Exam Review / Binary Logistic Regression / Multinomial Logistic Regression [Slides] [Video] [Poll] |
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HW4 out HW3 due |
| Fri, 27-Sep |
Recitation: Midterm Exam Review |
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Deep Learning |
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| Mon, 30-Sep | Lecture 11
:
Feature Engineering / Neural Networks [Slides] [Video] [Poll] |
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| Wed, 2-Oct | Lecture 12
:
Neural Networks [Slides] [Video] [Poll] |
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| Thu, 3-Oct |
Midterm Exam 1 (Evening Exam) -- details will be announced on Piazza |
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| Fri, 4-Oct |
Recitation: HW4 |
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| Mon, 7-Oct | Lecture 13
:
Backpropagation [Slides] [Video] [Poll] |
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| Wed, 9-Oct | Lecture 14
:
Deep Learning [Slides] [Video] [Poll] |
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| Fri, 11-Oct |
Recitation: HW5 |
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HW5 out HW4 due |
Learning Paradigms |
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| Mon, 14-Oct | Lecture 15
:
Reinforcement Learning: Markov Decision Processes [Slides] [Video] [Poll] |
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| Wed, 16-Oct | Lecture 16
:
Reinforcement Learning: Value/Policy Iteration [Slides] [Video] [Poll] |
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Recitation: Debugging |
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| Fri, 18-Oct |
(No class: Mid-semester break) |
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| Mon, 21-Oct | Lecture 17
:
Reinforcement Learning: Q-Learning / Deep RL [Slides] [Video] [Poll] |
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Learning Theory |
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| Wed, 23-Oct | Lecture 18
:
Information Theory [Slides] [Video] [Poll] |
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| Fri, 25-Oct |
(No class: Day for community engagement) |
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HW6 out HW5 due |
| Mon, 28-Oct | Lecture 19
:
Information Theory [Video] [Poll] |
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Generative Models |
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| Wed, 30-Oct | Lecture 20
:
MLE/MAP [Slides] [Video] [Poll] |
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| Fri, 1-Nov |
Recitation: HW6 |
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| Mon, 4-Nov | Lecture 21
:
Midterm Exam Review / Ensemble Methods / Recommender Systems [Slides] [Video] [Poll] |
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| Wed, 6-Nov | Lecture 22
:
Bayes Framework; Bayes Classifier [Video] [Poll] |
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| Fri, 8-Nov |
Recitation: Midterm Exam Review |
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HW7 out HW6 due |
Graphical Models |
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| Mon, 11-Nov | Lecture 23
:
Naive Bayes [Video] [Poll] |
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| Wed, 13-Nov | Lecture 24
:
Hidden Markov Models (Part I) [Slides] [Video] [Poll] |
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| Thu, 14-Nov |
Midterm Exam 2 (Evening Exam) -- 6:30pm-8:00pm |
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| Fri, 15-Nov |
Recitation: HW7 |
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| Mon, 18-Nov | Lecture 25
:
Hidden Markov Models (Part II) [Video] [Poll] |
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Learning Paradigms |
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| Wed, 20-Nov | Lecture 26
:
Graphical Models (Bayes Nets and Markov Random Fields) [Video] [Poll] |
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| Fri, 22-Nov | Lecture 27
:
SVMs / Kernel Methods [Slides] [Video] [Poll] |
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| Mon, 25-Nov |
Recitation: HW8 |
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HW8 out HW7 due |
| Wed, 27-Nov |
(No class: Thanksgiving break) |
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| Fri, 29-Nov |
(No class: Thanksgiving break) |
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| Mon, 2-Dec | Lecture 28
:
Dimensionality Reduction: PCA [Slides] [Video] [Poll] |
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| Wed, 4-Dec | Lecture 29
:
Final Exam Review [Slides] [Video] [Poll] |
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HW8 due |
| Fri, 6-Dec |
Recitation: Final Exam Review |
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| Mon, Dec-09 |
Final Exam 8:30am-11:30am -- details will be announced on Piazza |
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