Syllabus for Machine Learning with Large Datasets 10-605 in Spring 2015

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

Notes:

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

January

• Tues Jan 13. Overview of course, cost of various operations, asymptotic analysis.
• Thus Jan 15. Review of probabilities, joint distributions and naive Bayes
• Tues Jan 20. Streaming algorithms and Naive Bayes; The stream-and-sort design pattern; Naive Bayes for large feature sets.
  • New Assignment: streaming Naive Bayes 1 (with feature counts in memory). PDF Handout
• Thus Jan 22. Messages and records 1; Phrase finding.
  • Assignment due: streaming Naive Bayes 1 (with feature counts in memory).
• Tues Jan 27. Phrase Finding and Rocchio
  • New Assignment: streaming Naive Bayes 2 (with feature counts on disk) with stream-and-sort. PDF Handout
• Thus Jan 29. Rocchio and Parallel Perceptrons

February

• Tues Feb 3. Perceptrons/Map-reduce and Hadoop.
  • Assignment due: streaming Naive Bayes 2 (with feature counts on disk) with stream-and-sort
  • New Assignment: phrase finding with stream-and-sort. PDF Handout
• Thus Feb 5. Parallel Perceptrons.
• Tues Feb 10. student presentations
• Thus Feb 12. student presentations
• Tues Feb 17. Scalable SGD and Hash Kernels
  • Assignment due: phrase finding with stream-and-sort
  • New Assignments: Naive Bayes with Streaming Hadoop, Naive Bayes with Hadoop & Phrase-finding with Hadoop. PDF Handout (4a)PDF Handout (4b)PDF Handout (4c)
• Thus Feb 19. Matrix Factorization and SGD, plus another Hadoop demo
• Tues Feb 24. SGD for Matrix Factorization, and Randomized Algorithms 1 (Bloom Filters)
  • Streaming run on Hadoop of Naive Bayes due
• Thus Feb 26. Randomized Algorithms
  • Non-streaming run on Hadoop of Naive Bayes due.

March

• Tues Mar 3. student presentations
• Thus Mar 5. student presentations
  • Hadoop assignment (phrase-finding) due
• Tues Mar 10. no class - spring break.
• Thus Mar 12. no class - spring break.
• Tues Mar 17. Scalable PageRank
  • New Assignment: memory-efficient SGD PDF handout
• Thus Mar 19. Subsampling a graph with RWR
• Tues Mar 24. Subsamping continued and SSL on Graphs AAAI Spring Symposium week
• Thus Mar 26. Scalable spectral clustering techniques. AAAI Spring Symposium week
  • Assignment due: memory-efficient SGD
• Tues Mar 31. Sparse sampling and parallelization for LDA
  • Assignment due: memory-efficient SGD
  • New Assignment: Subsampling and visualizing a graph. PDF handout

April

• Thus Apr 2. Speeding up LDA-like models: All-reduce and online LDA
• Tues Apr 7. Workflows in PIG
• Thus Apr 9. Fast KNN and similarity joins
• Tues Apr 14. Parallel/Scalable Similarity Joins
  • Assignment due: Subsampling and visualizing a graph.
  • New Assignment: Workflows with Pig PDF handout
• Thus Apr 16. no class : carnival
• Tues Apr 21. Graph models for large-scale ML
  • Assignment due: Workflows with Pig
• Thus Apr 23.
• Tues Apr 28. Exam review session.
  • PDF practice questions
  • Review session slides
• Thus Apr 30. In-class exam.

Not happening this year:

• First-order logics
• Thus Apr 21. Scalable First-order logics