10301 + 10601, Fall 2021
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 

Mon, 30Aug  Lecture 1
:
Course Overview [Slides] [Whiteboard] 


Wed, 1Sep  Lecture 2
:
Decision Trees (Part I) [Slides] [Whiteboard] 

HW1 out

Fri, 3Sep 
Recitation: HW1 [Handout] [Solutions] 


Mon, 6Sep 
Labor Day  No Classes 


Wed, 8Sep  Lecture 3
:
Decision Trees (Part II) [Slides] [Whiteboard] [Poll] 

HW1 due HW2 out

Fri, 10Sep 
Recitation: HW2 [Handout] [Solutions] 


Mon, 13Sep  Lecture 4
:
kNearest Neighbors [Slides] [Whiteboard] [Poll] 

HW1 Solution Session 
Wed, 15Sep  Lecture 5
:
Model Selection [Slides] [Whiteboard] [Poll] 


Fri, 17Sep  Lecture 6
:
Perceptron [Slides] [Whiteboard] [Poll] 


Linear Models 

Mon, 20Sep  Lecture 7
:
Linear Regression [Slides] [Whiteboard] [Poll] 

HW2 due HW3 out

Wed, 22Sep  Lecture 8
:
Optimization for ML [Slides] [Whiteboard] [Poll] 


Fri, 24Sep 
Recitation: HW3 [Handout] [Solutions] 


Sun, 26Sep 


HW3 due (only two grace days permitted) Mock Exam 1 and Exam 1 practice problems out

Mon, 27Sep  Lecture 9
:
Exam 1 Review / Stochastic Gradient Descent / Probabilistic Learning [Slides] [Whiteboard] [Poll] 

HW2 Solution Session 
Wed, 29Sep 
Recitation: Colab / Linear Algebra Libraries / Debugging 

HW3 Solution Session 
Thu, 30Sep 
Exam 1 (evening exam, details will be announced on Piazza) 


Fri, 1Oct  Lecture 10
:
Logistic Regression / Feature Engineering / Regularization [Slides] [Whiteboard] [Poll] 

HW4 out

Mon, 4Oct 
Recitation: HW4 [Handout] [Solutions] 


Deep Learning 

Wed, 6Oct  Lecture 11
:
Neural Networks [Slides] [Whiteboard] [Poll] 


Fri, 8Oct  Lecture 12
:
Backpropagation
(**Lecture switched with recitation**) [Slides] [Whiteboard] [Poll] 


Mon, 11Oct  Lecture 13
:
Deep Learning [Slides] [Whiteboard] [Poll] 

HW4 due HW5 out

Learning Theory 

Wed, 13Oct  Lecture 14
:
Learning Theory: PAC Learning [Slides] [Whiteboard] [Poll] 


Fri, 15Oct 
Recitation: HW5 [Handout] [Solutions] 


Mon, 18Oct  Lecture 15
:
Learning Theory: PAC Learning [Slides] [Whiteboard] [Poll] 

HW4 Solution Session 
Generative Models 

Wed, 20Oct  Lecture 16
:
MLE/MAP [Slides] [Whiteboard] [Poll] 


Thu, 21Oct 


HW5 due HW6 out

Fri, 22Oct 
Recitation: HW6 [Handout] [Solutions] 

Exam 2 practice problems out

Mon, 25Oct  Lecture 17
:
Naive Bayes [Slides] [Whiteboard] [Poll] 


Graphical Models 

Wed, 27Oct  Lecture 18
:
Exam 2 Review / Hidden Markov Models (Part I) [Slides] [Whiteboard] [Poll] 

HW5 Solution Session 
Thu, 28Oct 


HW6 due (only two grace days permitted) Mock Exam 2 out (due Oct 31)

Fri, 29Oct  Lecture 19
:
Hidden Markov Models (Part II)
(**Lecture switched with recitation**) [Slides] [Whiteboard] [Poll] 


Mon, 1Nov  Lecture 20
:
Bayesian Networks [Slides] [Whiteboard] [Poll] 

HW6 Solution Session 
Tue, 2Nov 
Exam 2 (evening exam, details will be announced on Piazza) 


Wed, 3Nov 
Recitation: HW7 [Handout] [Solutions] 

HW7 out

Fri, 5Nov 
No Classes  Day for Community Engagement 


Reinforcement Learning 

Mon, 8Nov  Lecture 21
:
Reinforcement Learning: MDPs [Slides] [Whiteboard] [Poll] 


Wed, 10Nov  Lecture 22
:
Reinforcement Learning: Value/Policy Iteration [Slides] [Whiteboard] [Poll] 


Fri, 12Nov  Lecture 23
:
Reinforcement Learning: QLearning + Deep RL
(**Lecture switched with recitation**) [Slides] [Whiteboard] [Poll] 

HW7 due HW8 out

Mon, 15Nov 
Recitation: HW8 [Handout] [Solutions] 


Learning Paradigms 

Wed, 17Nov  Lecture 24
:
KMeans / Dimensionality Reduction: PCA [Slides] [Whiteboard] [Poll] 


Thu, 18Nov 


HW7 Solution Session 
Fri, 19Nov 
(No recitation) 


Sun, 21Nov 


HW8 due HW9 out

Mon, 22Nov  Lecture 25
:
Ensemble Methods / Recommender Systems [Slides] [Whiteboard] [Poll] 


Tue, 23Nov 



Wed, 24Nov 
Thanksgiving Break  No Classes 


Fri, 26Nov 
Thanksgiving Break  No Classes 


Mon, 29Nov 
Recitation: HW9 [Handout] [Solutions] 

Exam 3 practice problems out

Tue, 30Nov 


HW8 Solution Session 
Wed, 1Dec  Lecture 26
:
Exam 3 Review / Societal Impacts of ML [Slides] [Whiteboard] [Poll] 

HW9 due (only two grace days permitted) Mock Exam 3 out (due Dec 04)

Fri, 3Dec 
(No recitation) 

HW9 Solution Session (Sun) 
Mon, 6Dec 
Exam 3 (Monday, December 6th, 9:30am11:30am)  details will be announced on Piazza 

