Difference between revisions of "Syllabus for Machine Learning with Large Datasets 10-605 in Spring 2015"

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* Thus Jan 29. [[Class meeting for 10-605 PIG|PIG and Other Workflow Systems for Hadoop]]
 
* Thus Jan 29. [[Class meeting for 10-605 PIG|PIG and Other Workflow Systems for Hadoop]]
 
** '''HW1A and HW1B due.'''
 
** '''HW1A and HW1B due.'''
** ''HW2: phrase finding with stream-and-sort''. [http://curtis.ml.cmu.edu/w/courses/images/5/5e/Phrases.pdf PDF Handout] (DRAFT)
+
** ''HW2: phrase finding with stream-and-sort''. [http://www.cs.cmu.edu/~yipeiw/TA605/phrases.pdf PDF Handout] [http://www.cs.cmu.edu/~yipeiw/TA605/stopword.list Stopword List]
  
 
== February ==
 
== February ==
Line 28: Line 28:
 
* Thus Feb 5.  [[Class meeting for 10-605 Similarity Joins|Fast KNN and similarity joins]]
 
* Thus Feb 5.  [[Class meeting for 10-605 Similarity Joins|Fast KNN and similarity joins]]
 
* Tues Feb 10. [[Class meeting for 10-605 Parallel Perceptrons 1|Parallel Perceptrons 1]].
 
* Tues Feb 10. [[Class meeting for 10-605 Parallel Perceptrons 1|Parallel Perceptrons 1]].
 +
* Thus Feb 12. [[Class meeting for 10-605 Parallel Perceptrons 2|Parallel Perceptrons 2]].
 
** '''HW2 due: phrase finding with stream-and-sort'''
 
** '''HW2 due: phrase finding with stream-and-sort'''
** ''HW3,4: Naive Bayes with Streaming Hadoop,  Naive Bayes with Hadoop & Phrase-finding with Hadoop''.  PDF Handouts: [http://curtis.ml.cmu.edu/w/courses/images/c/c0/Homework4a.pdf  HW3 - warmup],[http://curtis.ml.cmu.edu/w/courses/images/a/a2/Homework4b.pdf HW3],[http://curtis.ml.cmu.edu/w/courses/images/3/30/Homework4c.pdf HW4].
 
* Thus Feb 12. [[Class meeting for 10-605 Parallel Perceptrons 2|Parallel Perceptrons 2]].
 
 
* Tues Feb 17. [[Class meeting for 10-605 SGD and Hash Kernels|Scalable SGD and Hash Kernels]]
 
* Tues Feb 17. [[Class meeting for 10-605 SGD and Hash Kernels|Scalable SGD and Hash Kernels]]
** ''For 10/11-805 students:'' '''initial draft of project proposal is due.'''
+
** ''HW3: Naive Bayes with Hadoop MapReduce''.  PDF Handouts: [http://www.andrew.cmu.edu/user/amaurya/docs/10605/homework3.pdf  HW3].
* Thus Feb 19. [[Class meeting for 10-605 SGD for MF|Matrix Factorization and SGD]]
+
** ''For 10/11-805 students:'' '''initial draft of project proposal is due.''' I will give you feedback on this, so please be clear about your proposal.  I'm expecting approximately one page.  You should discuss what dataset you plan to use, what results you hope to obtain, what baseline technique you will build on and/or compare to.  Also include a section saying if you have a partner; and if you are willing to work with/mentor one or more 605 students, and if so, how you anticipate them contributing to the project.
* Tues Feb 24. [[Class meeting for 10-605 SGD for MF 2 and Randomized Algorithms|SGD for Matrix Factorization, and Randomized Algorithms 1 (Bloom Filters)]]
+
* Thus Feb 19. [[Class meeting for 10-605 Randomized|Randomized Algorithms 1]]
** '''HW3 due: Naive Bayes with Hadoop'''
+
* Tues Feb 24. [[Class meeting for 10-605 Randomized|Randomized Algorithms 2]]
* Thus Feb 26. [[Class meeting for 10-605 Graphs 2|Randomized Algorithms]]
+
* Thus Feb 26. [[Class meeting for 10-605 SGD for MF|Matrix Factorization and SGD]]
  
 
== March  ==
 
== March  ==
  
 +
* Sun Mar 1.
 +
** '''HW3 due: Naive Bayes with Hadoop MapReduce'''
 +
** HW4: [http://www.andrew.cmu.edu/user/amaurya/docs/10605/homework4.pdf PDF wrteup]
 
* Tues Mar 3. ''student presentations''
 
* Tues Mar 3. ''student presentations''
** Adams Wei Yu (weiyu at andrew): fast PPR on Map-Reduce
+
** Adams Wei Yu (weiyu at andrew): fast PPR on Map-Reduce [http://www.cs.cmu.edu/~wcohen/10-605/2015-guest-lecture/ppr_mapreduce.pdf]
** Jesse Dodge (jessed at andrew): large-scale lasso regularization
+
** Jakub Pachocki: factorization machines (and hash kernels?) [http://www.cs.cmu.edu/~wcohen/10-605/2015-guest-lecture/FM.pdf]
** Wanli Ma (wanlim at andrew): coresets for k-segmentation of streams
+
** <strike>Wanli Ma (wanlim at andrew): coresets for k-segmentation of streams</strike>
 
* Thus Mar 5. ''student presentations''
 
* Thus Mar 5. ''student presentations''
** Matt Gardner (mg1 at cs): Large-scale extensions of the path ranking algorithm
+
** Quiz: [https://qna-app.appspot.com/view.html?aglzfnFuYS1hcHByGQsSDFF1ZXN0aW9uTGlzdBiAgIDAvI2ZCAw]
** Jakub Pachocki: factorization machines (and hash kernels?)
+
** Matt Gardner (mg1 at cs): Large-scale extensions of the path ranking algorithm [http://www.cs.cmu.edu/~wcohen/10-605/2015-guest-lecture/matt-805-presentation.pdf]
** Ishan Misra (imisra at andrew): LSH for object detection
+
** Jesse Dodge (jessed at andrew): large-scale lasso regularization [http://www.cs.cmu.edu/~wcohen/10-605/2015-guest-lecture/jesse.pdf]
 +
** Ishan Misra (imisra at andrew): LSH for object detection [http://www.cs.cmu.edu/~wcohen/10-605/2015-guest-lecture/ishan.pdf]
 +
** ''HW5: memory-efficient SGD'' [http://www.andrew.cmu.edu/user/amaurya/docs/10605/homework5.pdf PDF handout]
 +
** ''For 10/11-805 students:'' '''project proposal is due.'''  This must contain a complete description of the data you will use.
 +
* Sat Mar 7 ('''extended from Friday'''):
 
** '''HW4 due: Phrase-finding with Hadoop'''
 
** '''HW4 due: Phrase-finding with Hadoop'''
** ''HW5: memory-efficient SGD'' [http://curtis.ml.cmu.edu/w/courses/images/0/08/Sgd.pdf PDF handout]
 
** ''For 10/11-805 students:'' '''project proposal is due.'''  This must contain a complete description of the data you will use.
 
 
* Tues Mar 10. ''no class - spring break.''
 
* Tues Mar 10. ''no class - spring break.''
 
* Thus Mar 12. ''no class - spring break.''
 
* Thus Mar 12. ''no class - spring break.''
* Tues Mar 17. [[Class meeting for 10-605 Subsample A Graph|Scalable PageRank]]
+
* Tues Mar 17. [[Class meeting for 10-605 Subsample A Graph|Scalable PageRank]] [http://curtis.ml.cmu.edu/w/courses/images/e/eb/ApproxPageRank.pdf PDF handout]
 +
* Thus Mar 19. [[Class meeting for 10-605 Subsampling Graphs|Subsampling a graph with RWR]]
 
** '''HW5 due: memory-efficient SGD'''  
 
** '''HW5 due: memory-efficient SGD'''  
** ''HW6: Subsampling and visualizing a graph.'' [http://curtis.ml.cmu.edu/w/courses/images/e/eb/ApproxPageRank.pdf PDF handout]
+
** ''HW6: Subsampling and visualizing a graph. [http://bit.ly/605_hw6 PDF handout]
* Thus Mar 19. [[Class meeting for 10-605 Subsampling Graphs|Subsampling a graph with RWR]]
+
* Tues Mar 24.  
* Tues Mar 24. [[Class meeting for 10-605 SSL on Graphs|Subsamping continued and SSL on Graphs]] '''AAAI Spring Symposium week'''
+
** Student presentation: Rohan Ramanath, Bayesian Optimization
* Thus Mar 26. [[Class meeting for 10-605 Spectral Clustering|Scalable spectral clustering techniques.]] '''AAAI Spring Symposium week'''
+
** Guest lecture: Dai Wei, CMU, Parameter servers('''Note''': This will be very relevant for one of the later HWs) [https://dl.dropboxusercontent.com/u/65353654/daiwei01_release.pdf PDF] and [https://dl.dropboxusercontent.com/u/65353654/daiwei01_release.pptx ppt].
 +
* Thus Mar 26. Guest lecture: D. Sculley, Google, TBA
 
* Tues Mar 31. [[Class meeting for 10-605 LDA 1|Sparse sampling and parallelization for LDA]]
 
* Tues Mar 31. [[Class meeting for 10-605 LDA 1|Sparse sampling and parallelization for LDA]]
** '''HW6 due: Subsampling and visualizing a graph.'''
 
** ''HW7: TBA''
 
  
 
== April  and May ==
 
== April  and May ==
  
* Thus Apr 2. [[Class meeting for 10-605 2013 LDA 2|Speeding up LDA-like models: All-reduce and online LDA]]
+
* Wed April 1
* Tues Apr 7. ''student presentations''
+
** '''HW6 due: Subsampling and visualizing a graph.'''
* Thus Apr 9. ''student presentations''
+
** ''HW7: Matrix Factorization in Spark'' [http://www.andrew.cmu.edu/user/amaurya/docs/10605/homework7.pdf HW7 PDF Handout] [http://www.cs.cmu.edu/~yipeiw/TA605/hw7/eval2.pyc Evaluation Script][http://www.cs.cmu.edu/~yipeiw/TA605/hw7/eval_acc.py Validation Script]
* Tues Apr 14.  [[Class meeting for 10-605 Parallel Similarity Joins|Scalable Similarity Joins]]
+
* Thus Apr 2. [[Class meeting for 10-605 2013 LDA 2|Speeding up LDA-like models: All-reduce and other tricks]]
 +
* Tues Apr 7. Guest lecture - Alex Beutel, SGD for Tensors
 +
** [http://www.cs.cmu.edu/~wcohen/10-605/2015-guest-lecture/beutel.pptx Alex's slides]
 +
** William's [http://www.cs.cmu.edu/~wcohen/10-605/HintsForMF.pptx hints for HW7 in PPT],[http://www.cs.cmu.edu/~wcohen/10-605/HintsForMF.pdf Hints for HW7 in PDF]
 +
* Thus Apr 9. Guest lecture - Alex Smola, [http://www.cs.cmu.edu/~wcohen/10-605/2015-guest-lecture/smola-param-serve.pdf Scalable parameter servers]
 +
** If you don't like the MediaTech one, a [http://youtu.be/bFnUeYDBtbk Youtube video on is also available] for Alex's talk.
 +
* Mon Apr 13. '''Informal update due for students working on project teams due.'''
 +
** Each '''student working on a project''' should send to wcohen+805@gmail.com an update, between 1/2 page and 1 page long, saying what concrete tasks you've accomplished to date, how these tasks are part of the overall project (if you're not the only member), and what you plan to do between 4/13 and the presentation on 4/23.
 +
** Additionally, each '''project lead''' (i.e., each 805 student that has any 10-605 student working with them) should add a list of who's working on their project, and one line indicating if they're making good progress so far.
 +
* Tues Apr 14.  [[Class_meeting_for_10-605_SSL_on_Graphs|SSL on Graphs]]
 +
* Thus Apr 16. ''no class : carnival''
 
** '''HW7 due'''
 
** '''HW7 due'''
** ''HW8: TBA''
+
** ''HW8: [http://bit.ly/605_hw8_ps Matrix factorization on parameter server]
* Thus Apr 16. ''no class : carnival''
 
 
* Tues Apr 21.  [[Class meeting for 10-605 GraphLab|Graph models for large-scale ML]]
 
* Tues Apr 21.  [[Class meeting for 10-605 GraphLab|Graph models for large-scale ML]]
* Thus Apr 23.  ''Poster session for 10/11-805 projects''
+
* Thus Apr 23.  ''Presentation for 10/11-805 projects''
 
* Tues Apr 28. Exam review session.  
 
* Tues Apr 28. Exam review session.  
 
** '''HW8: due'''
 
** '''HW8: due'''
** [http://curtis.ml.cmu.edu/w/courses/images/0/0a/Practice_questions.pdf PDF practice questions]
+
** [http://www.cs.cmu.edu/~wcohen/10-605/practice-questions/s2014-final.pdf PDF practice questions from 2014]
** [http://www.cs.cmu.edu/~wcohen/10-605/exam-review.pptx Review session slides]
+
** [http://www.cs.cmu.edu/~wcohen/10-605/practice-questions/s2015-final.pdf PDF practice questions for 2015]
 +
** [http://www.cs.cmu.edu/~wcohen/10-605/exam-review.pptx Review session slides],  [http://www.cs.cmu.edu/~wcohen/10-605/exam-review.pdf PDF]
 
* Thus Apr 30. In-class exam.
 
* Thus Apr 30. In-class exam.
  
 
* Tues May 5.
 
* Tues May 5.
** ''For 10/11-805 students:'' '''project reports''' are due  
+
** ''For 10/11-805 students:'' '''project reports''' are due
  
 
== Topics covered in previous years but not in 2015 ==
 
== Topics covered in previous years but not in 2015 ==
  
 
* [[Class meeting for 10-605 PIG|Workflows in PIG]]
 
* [[Class meeting for 10-605 PIG|Workflows in PIG]]
* [[Class meeting for 10-605 Similarity Joins|Fast KNN and similarity joins]]
 
 
* [[Class meeting for 10-605 First-Order Logics|First-order logics]]
 
* [[Class meeting for 10-605 First-Order Logics|First-order logics]]
 
* [[Class meeting for 10-605 Scalable FOL|Scalable First-order logics]]
 
* [[Class meeting for 10-605 Scalable FOL|Scalable First-order logics]]
 
+
* [[Class meeting for 10-605 Parallel Similarity Joins|Scalable Similarity Joins]]
* Tues Jan 27. [[Class meeting for 10-605 Rocchio and On-line Learning|Messages, records and workflows; Rocchio]]
+
* [[Class meeting for 10-605 Rocchio and On-line Learning|Messages, records and workflows; Rocchio]]
 +
* [[Class meeting for 10-605 Spectral Clustering|Scalable spectral clustering techniques.]]
 +
* [http://www.cs.cmu.edu/~wcohen/10-605/schimmy.pptx Scalable pagerank - The Schimmy Pattern]

Latest revision as of 14:50, 14 October 2015

This is the syllabus for Machine Learning with Large Datasets 10-605 in Spring 2015.

Notes:

  • The assignments posted are drafts based on the assignments from 2014, and will be modified over the course of the semester - some may be changed substantially.
  • Lecture notes and/or slides will be (re)posted around the time of the lectures.

January

February

March

  • Sun Mar 1.
    • HW3 due: Naive Bayes with Hadoop MapReduce
    • HW4: PDF wrteup
  • Tues Mar 3. student presentations
    • Adams Wei Yu (weiyu at andrew): fast PPR on Map-Reduce [1]
    • Jakub Pachocki: factorization machines (and hash kernels?) [2]
    • Wanli Ma (wanlim at andrew): coresets for k-segmentation of streams
  • Thus Mar 5. student presentations
    • Quiz: [3]
    • Matt Gardner (mg1 at cs): Large-scale extensions of the path ranking algorithm [4]
    • Jesse Dodge (jessed at andrew): large-scale lasso regularization [5]
    • Ishan Misra (imisra at andrew): LSH for object detection [6]
    • HW5: memory-efficient SGD PDF handout
    • For 10/11-805 students: project proposal is due. This must contain a complete description of the data you will use.
  • Sat Mar 7 (extended from Friday):
    • HW4 due: Phrase-finding with Hadoop
  • Tues Mar 10. no class - spring break.
  • Thus Mar 12. no class - spring break.
  • Tues Mar 17. Scalable PageRank PDF handout
  • Thus Mar 19. Subsampling a graph with RWR
    • HW5 due: memory-efficient SGD
    • HW6: Subsampling and visualizing a graph. PDF handout
  • Tues Mar 24.
    • Student presentation: Rohan Ramanath, Bayesian Optimization
    • Guest lecture: Dai Wei, CMU, Parameter servers. (Note: This will be very relevant for one of the later HWs) PDF and ppt.
  • Thus Mar 26. Guest lecture: D. Sculley, Google, TBA
  • Tues Mar 31. Sparse sampling and parallelization for LDA

April and May

  • Tues May 5.
    • For 10/11-805 students: project reports are due

Topics covered in previous years but not in 2015