Introduction to Machine Learning
10701, Fall 2015Eric Xing, Ziv BarJoseph School of Computer Science, Carnegie Mellon University 
Syllabus and (tentative) Course Schedule
Date  Lecture  Topics  Readings and useful links 
Anouncements 

Module 1: Supversived Learning  
Thu 9/3  Lecture 1 (Eric, Ziv): Intro to probability, MLE  Slides 


Tue 9/8  No class  
Thu 9/10  Lecture 2 (Ziv): Classification, kNN  Slides, Video 


Tue 9/15  No class  
Thu 9/17  Lecture 3 (Ziv): Decision trees  Slides (updated), Video 

PS1 out  
Tue 9/22  Lecture 4 (Ziv): Naïve Bayes  Slides, Quiz, Video 

Mitchell, 6.16.10  
Thu 9/24  Lecture 5 (Ziv): Linear regression  Slides, Video 

Bishop, 3.1  
Tue 9/29  Lecture 6 (Ziv): Logistic regression  Slides, Video 

Bishop, 4.24.3  
Thu 10/1  Lecture 7 (Eric): Perceptron, Neural networks  Slides, Video 


PS2 out, PS1 due (10/2) 
Tue 10/6  Lecture 8 (Eric): Deep learning, SVM  Slides1, Slides2, Video 

Deep Learning:


Thu 10/8  Lecture 9 (Eric): SVM  Slides, Annotated, Video 

Proposal due  
Tue 10/13  Lecture 10 (Eric): Evaluating classifiers, Biasvariance decomposition  Slides, Video 



Thu 10/15  Lecture 11 (Eric): Ensemble learning  Boosting, Random Forests  Slides, Video 


PS3 out, PS2 due (10/16) 
Module 2: Unsupversived Learning  
Tue 10/20  Lecture 12, 13 (Ziv): Unsupervised learning  clustering  Slides, Video 



Thu 10/22  
Tue 10/27  Lecture 14 (Ziv): Semisupervised learning  Slides, Video 


Thu 10/29  Lecture 15 (Eric): Learning theory  Slides, Annotated, Video 


PS4 out, PS3 due (10/30) 
Tue 11/3  Lecture 16 (Eric): VC dimension  Slides, Video 



Module 3: Probabilistic Representation and Modeling  
Thu 11/5  Lecture 17 (Eric): Graphical models, Bayes nets  Slides, Video 

Midway report due  
Tue 11/10  Lecture 18 (Eric): Bayes nets  Slides, Video  Bishop, 8.4  
Thu 11/12  Lecture 19 (Eric): Undirected graphical models Video  PS4 due (11/13)  
Sun 11/15  Midterm review at Doherty 2315, 46pm  
Tue 11/17  No class, Midterm at DH 2315, 5pm  
Thu 11/19  Lecture 20 (Ziv): HMM  Slides, Video  PS5 out  
Tue 11/24  Lecture 21 (Ziv): HMM inference  Slides  
Thu 11/26  No class  
Tue 12/1  Lecture 22 (Eric): MDPs, Reinforcement learning  Slides 

PS5 due  
Thu 12/3  Lecture 23 (Eric): Topic models  Slides 


Fri 12/4  Poster session, 2:30pm at NSH Atrium  
Module 4: Applications of ML  
Tue 12/8  Lecture 24 (Ziv): Computational biology  Slides  Final report due (12/11) 
© 2012 Eric Xing @ School of Computer Science, Carnegie Mellon University
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