Difference between revisions of "Syllabus for Machine Learning 10-601 in Fall 2014"

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|+ Schedule for 10-601 in Fall 2013
 
|+ Schedule for 10-601 in Fall 2013
 
!  Date of lecture
 
!  Date of lecture
−
!  Alternate
 
 
!  Topic   
 
!  Topic   
 
!  Lecturer  
 
!  Lecturer  
 
!  Assignment/Notes
 
!  Assignment/Notes
 
|-
 
|-
−
| Tues 9/2|| || [[10-601 Introduction to Probability|Overview and Intro to Probability]] || William||  
+
| Tues 9/2|| [[10-601 Introduction to Probability|Overview and Intro to Probability]] || William||  
 
|-
 
|-
−
| Thurs 9/4|| || [[10-601 K-NN And Trees|Classification and K-NN]] || William || ''slides will be updated''
+
| Thurs 9/4|| [[10-601 K-NN And Trees|Classification and K-NN]] || William || ''slides will be updated''
 
|-
 
|-
−
| Tues 9/9 || || [[10-601 K-NN And Trees|Decision Trees, and Rule Learning]] || William || ''slides will be updated''
+
| Tues 9/9 || | [[10-601 K-NN And Trees|Decision Trees, and Rule Learning]] || William || ''slides will be updated''
 
|-  
 
|-  
−
| Thurs 9/11 || || [[10-601 Naive Bayes|The Naive Bayes algorithm]] || William ||  
+
| Thurs 9/11 || [[10-601 Naive Bayes|The Naive Bayes algorithm]] || William ||  
 
|-  
 
|-  
−
| Tues 9/16 ||  || [[10-601 Linear Regression|Linear Regression]] || William || ''slides will be updated''
+
| Tues 9/16 ||  [[10-601 Linear Regression|Linear Regression]] || William || ''slides will be updated''
 
|-  
 
|-  
−
| Thurs 9/18 || || [[10-601 Logistic Regression|Logistic Regression]] || William ||  
+
| Thurs 9/18 ||   [[10-601 Logistic Regression|Logistic Regression]] || William ||  
 
|-  
 
|-  
−
| Tues 9/23 || || [[10-601 Perceptrons and Voted Perceptrons|The Perceptron algorithm]] || William || William's also lecturing in Ziv's class on Mon
+
| Tues 9/23 || [[10-601 Perceptrons and Voted Perceptrons|The Perceptron algorithm]] || William || William's also lecturing in Ziv's class on Mon
 
|-  
 
|-  
−
| Thurs 9/25 || || Neural networks and Deep Belief Networks || William || ''slides will be updated''
+
| Thurs 9/25 || Neural networks and Deep Belief Networks || William || ''slides will be updated''
 
|-  
 
|-  
−
|  Tues 9/30 || Mon || SVMs and Margin Classifiers 1 || Ziv ||  Ziv's also lecturing in his class on Mon
+
|  Tues 9/30* || SVMs and Margin Classifiers 1 || Ziv ||  Ziv's also lecturing in his class on Mon
 
|-  
 
|-  
−
| Thurs 10/1-2 || Wed || SVMs and Margin Classifiers 2 || Ziv ||  Ziv's also lecturing in his class on Wed
+
| Thurs 10/2* ||   SVMs and Margin Classifiers 2 || Ziv ||  Ziv's also lecturing in his class on Wed
 
|-                                                                                 
 
|-                                                                                 
−
| Tues 10/7 || || [[10-601 Evaluation|Evaluating and Comparing Classifiers Experimentally]]  || William ||
+
| Tues 10/7 || [[10-601 Evaluation|Evaluating and Comparing Classifiers Experimentally]]  || William ||
 
|-                                                                                      
 
|-                                                                                      
−
| Thus 10/9 || || [[10-601 PAC| PAC Learning]] || William ||
+
| Thus 10/9 || [[10-601 PAC| PAC Learning]] || William ||
 
|-                                                                                      
 
|-                                                                                      
−
| Tues 10/14  || Mon || [[10-601 Bias-Variance|Bias-Variance Decomposition]] || William || William's also lecturing in Ziv's class on Mon
+
| Tues 10/14* || [[10-601 Bias-Variance|Bias-Variance Decomposition]] || William || William's also lecturing in Ziv's class on Mon
 
|-                                                                                      
 
|-                                                                                      
 
| Thurs 10/16 || [[10-601 Ensembles 1|Ensemble Methods 1]], [[10-601 Ensembles 2|Ensemble Methods 2]]|| William || ''slides to be updated''
 
| Thurs 10/16 || [[10-601 Ensembles 1|Ensemble Methods 1]], [[10-601 Ensembles 2|Ensemble Methods 2]]|| William || ''slides to be updated''
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| Thurs 10/30 || '''Mid-term Exam''' || || ''TBA: room and/or time may be different''
 
| Thurs 10/30 || '''Mid-term Exam''' || || ''TBA: room and/or time may be different''
 
|-                                                                                      
 
|-                                                                                      
−
| Tues 11/4 || Mon || [[10-601 GM1| Graphical Models 1]]  || Ziv ||  Ziv's also lecturing in his class on Mon      
+
| Tues 11/4* || [[10-601 GM1| Graphical Models 1]]  || Ziv ||  Ziv's also lecturing in his class on Mon      
 
|-                                                                                      
 
|-                                                                                      
−
|  Thurs 11/6 || Wed ||  [[10-601 GM2| Graphical Models 2]] || Ziv  || Ziv's also lecturing in his class on Wed
+
|  Thurs 11/6* ||  [[10-601 GM2| Graphical Models 2]] || Ziv  || Ziv's also lecturing in his class on Wed
 
|-                                                                                      
 
|-                                                                                      
−
|  Tues 11/11 || Mon ||  [[10-601 Sequences|HMMS and Sequences]] || Ziv  || Ziv's also lecturing in his class on Mon                                   
+
|  Tues 11/11* ||  [[10-601 Sequences|HMMS and Sequences]] || Ziv  || Ziv's also lecturing in his class on Mon                                   
 
|-
 
|-
−
|  Thus 11/13  || Wed || [[10-601 Topic Models|Matrix Factorization and Topic Models]]|| William || William's also lecturing in Ziv's class on Wed, ''slides to be updated''             
+
|  Thus 11/13* || [[10-601 Topic Models|Matrix Factorization and Topic Models]]|| William || William's also lecturing in Ziv's class on Wed, ''slides to be updated''             
 
|-
 
|-
−
|  Tues 11/18 || Mon || [[10-601 Network Models| Network Models]] || William || William's also lecturing in Ziv's class on Mon
+
|  Tues 11/18* || [[10-601 Network Models| Network Models]] || William || William's also lecturing in Ziv's class on Mon
 
|-
 
|-
−
|  Thurs 11/20 || Wed || Semi-supervised learning || William ||  William's also lecturing in Ziv's class on Wed
+
|  Thurs 11/20* || Semi-supervised learning || William ||  William's also lecturing in Ziv's class on Wed
 
|-  
 
|-  
−
|  Tues 11/25 || Mon || [[10-601 Big Data|Scalable Learning and Parallelization]] || William || William's also lecturing in Ziv's class on Mon
+
|  Tues 11/25* ||   [[10-601 Big Data|Scalable Learning and Parallelization]] || William || William's also lecturing in Ziv's class on Mon
 
|-
 
|-
−
| Thurs 11/27 || || ''No class - Thanksgiving'' ||  
+
| Thurs 11/27 ||''No class - Thanksgiving'' ||  
 
|-  
 
|-  
−
|  Tues 12/2 || Mon || Learning and NLP || William ||  
+
|  Tues 12/2* || Learning and NLP || William ||  
 
|-
 
|-
−
| Thurs 12/4 || Wed || Learning and Biology || William  ||  
+
| Thurs 12/4 || Learning and Biology || William  ||  
 
|-  
 
|-  
 
|}
 
|}
  
 
'''To other instructors''': if you'd like to use any of the materials found here, you're absolutely welcome to do so, but please acknowledge their ultimate source somewhere.
 
'''To other instructors''': if you'd like to use any of the materials found here, you're absolutely welcome to do so, but please acknowledge their ultimate source somewhere.

Revision as of 16:42, 11 July 2014

This is the syllabus for Machine Learning 10-601 in Fall 2014.

Schedule

Schedule for 10-601 in Fall 2013
Date of lecture Topic Lecturer Assignment/Notes
Tues 9/2 Overview and Intro to Probability William
Thurs 9/4 Classification and K-NN William slides will be updated
Tues 9/9 Decision Trees, and Rule Learning William slides will be updated
Thurs 9/11 The Naive Bayes algorithm William
Tues 9/16 Linear Regression William slides will be updated
Thurs 9/18 Logistic Regression William
Tues 9/23 The Perceptron algorithm William William's also lecturing in Ziv's class on Mon
Thurs 9/25 Neural networks and Deep Belief Networks William slides will be updated
Tues 9/30* SVMs and Margin Classifiers 1 Ziv Ziv's also lecturing in his class on Mon
Thurs 10/2* SVMs and Margin Classifiers 2 Ziv Ziv's also lecturing in his class on Wed
Tues 10/7 Evaluating and Comparing Classifiers Experimentally William
Thus 10/9 PAC Learning William
Tues 10/14* Bias-Variance Decomposition William William's also lecturing in Ziv's class on Mon
Thurs 10/16 Ensemble Methods 1, Ensemble Methods 2 William slides to be updated
Tues 10/21 Unsupervised Learning: k-Means and Mixtures Bhavana or Ziv
Thus 10/23 Unsupervised Learning: Dimensionality Reduction Bhavana or Ziv
Tues 10/28 Review session William slides to be posted
Thurs 10/30 Mid-term Exam TBA: room and/or time may be different
Tues 11/4* Graphical Models 1 Ziv Ziv's also lecturing in his class on Mon
Thurs 11/6* Graphical Models 2 Ziv Ziv's also lecturing in his class on Wed
Tues 11/11* HMMS and Sequences Ziv Ziv's also lecturing in his class on Mon
Thus 11/13* Matrix Factorization and Topic Models William William's also lecturing in Ziv's class on Wed, slides to be updated
Tues 11/18* Network Models William William's also lecturing in Ziv's class on Mon
Thurs 11/20* Semi-supervised learning William William's also lecturing in Ziv's class on Wed
Tues 11/25* Scalable Learning and Parallelization William William's also lecturing in Ziv's class on Mon
Thurs 11/27 No class - Thanksgiving
Tues 12/2* Learning and NLP William
Thurs 12/4 Learning and Biology William

To other instructors: if you'd like to use any of the materials found here, you're absolutely welcome to do so, but please acknowledge their ultimate source somewhere.

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