Difference between revisions of "Syllabus for Machine Learning with Large Datasets 10-405 in Spring 2018"

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* Wed Jan 17, 2018 [[Class meeting for 10-405 Overview|Overview]].  Grading policies and etc, History of Big Data, Complexity theory and cost of important operations
 
* Wed Jan 17, 2018 [[Class meeting for 10-405 Overview|Overview]].  Grading policies and etc, History of Big Data, Complexity theory and cost of important operations
 
* Mon Jan 22, 2018 [[Class meeting for 10-405 Probability Review|Probability Review]].  Counting for big data and density estimation, streaming Naive Bayes, Rocchio and TFIDF
 
* Mon Jan 22, 2018 [[Class meeting for 10-405 Probability Review|Probability Review]].  Counting for big data and density estimation, streaming Naive Bayes, Rocchio and TFIDF
** '''Start work on''' Assignment 1a: Streaming NB; Draft at https://autolab.andrew.cmu.edu/courses/10405-s18/assessments/hw1astreamingnaivebayes/writeup
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** '''Start work on''' Assignment 1a: Streaming NB; http://www.cs.cmu.edu/~wcohen/10-405/assignments/hw1a.pdf
 
* Wed Jan 24, 2018 [[Class meeting for 10-405 Streaming Naive Bayes|Streaming Naive Bayes]].  Notes on scalable naive bayes, Alternatives to stream and sort, Local counting in stream and sort, Stream and sort examples
 
* Wed Jan 24, 2018 [[Class meeting for 10-405 Streaming Naive Bayes|Streaming Naive Bayes]].  Notes on scalable naive bayes, Alternatives to stream and sort, Local counting in stream and sort, Stream and sort examples
 
* Mon Jan 29, 2018 [[Class meeting for 10-405 Hadoop Overview|Hadoop Overview]].  Intro to Hadoop, Hadoop Streaming, Debugging Hadoop, Combiners
 
* Mon Jan 29, 2018 [[Class meeting for 10-405 Hadoop Overview|Hadoop Overview]].  Intro to Hadoop, Hadoop Streaming, Debugging Hadoop, Combiners
** '''Start work on''' Assignment 1b: Streaming NB on Hadoop; Draft at https://autolab.andrew.cmu.edu/courses/10405-s18/assessments/hw1bhadoopnaivebayes/writeup
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** '''Start work on''' Assignment 1b: Streaming NB on Hadoop; http://www.cs.cmu.edu/~wcohen/10-405/assignments/hw1b.pdf
 
* Wed Jan 31, 2018 [[Class meeting for 10-405 Workflows For Hadoop|Workflows For Hadoop 1]].  Scalable classification, Abstracts for map-reduce algorithms, Joins in Hadoop
 
* Wed Jan 31, 2018 [[Class meeting for 10-405 Workflows For Hadoop|Workflows For Hadoop 1]].  Scalable classification, Abstracts for map-reduce algorithms, Joins in Hadoop
 
* Mon Feb 5, 2018 [[Class meeting for 10-405 Workflows For Hadoop|Workflows For Hadoop 2]].  Guinea Pig intro, Similarity joins, Similarity joins with TFIDF, Parallel simjoins
 
* Mon Feb 5, 2018 [[Class meeting for 10-405 Workflows For Hadoop|Workflows For Hadoop 2]].  Guinea Pig intro, Similarity joins, Similarity joins with TFIDF, Parallel simjoins
** '''Start work on''' Assignment 2a: Naive bayes training in Guinea Pig
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** '''Start work on''' Assignment 2a: Naive bayes training in Guinea Pig; http://www.cs.cmu.edu/~wcohen/10-405/assignments/hw2a.pdf
 
* Wed Feb 7, 2018 [[Class meeting for 10-405 Workflows For Hadoop|Workflows For Hadoop 3]].  PageRank, PageRank in Pig and Guinea Pig, K-means in Pig, Spark, Systems built on top of Hadoop
 
* Wed Feb 7, 2018 [[Class meeting for 10-405 Workflows For Hadoop|Workflows For Hadoop 3]].  PageRank, PageRank in Pig and Guinea Pig, K-means in Pig, Spark, Systems built on top of Hadoop
 
* Mon Feb 12, 2018 [[Class meeting for 10-405 SGD and Hash Kernels|SGD and Hash Kernels]].  Learning as optimization, Logistic regression with SGD, Regularized SGD, Efficient regularized SGD, Hash kernels for logistic regression
 
* Mon Feb 12, 2018 [[Class meeting for 10-405 SGD and Hash Kernels|SGD and Hash Kernels]].  Learning as optimization, Logistic regression with SGD, Regularized SGD, Efficient regularized SGD, Hash kernels for logistic regression
** '''Start work on''' Assignment 2b:  Naive bayes testing in Guinea Pig. Writeup at https://autolab.andrew.cmu.edu/courses/10405-s18/assessments/hw2anbwithguineapig/writeup
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** '''Start work on''' Assignment 2b:  Naive bayes testing in Guinea Pig. http://www.cs.cmu.edu/~wcohen/10-405/assignments/hw2b.pdf
 
* Wed Feb 14, 2018 [[Class meeting for 10-405 Parallel Perceptrons|Parallel Perceptrons 1]].  The "delta trick", Averaged perceptrons, Debugging ML algorithms
 
* Wed Feb 14, 2018 [[Class meeting for 10-405 Parallel Perceptrons|Parallel Perceptrons 1]].  The "delta trick", Averaged perceptrons, Debugging ML algorithms
 
* Mon Feb 19, 2018 [[Class meeting for 10-405 Parallel Perceptrons|Parallel Perceptrons 2]].  Hash kernels, Ranking perceptrons, Structured perceptrons
 
* Mon Feb 19, 2018 [[Class meeting for 10-405 Parallel Perceptrons|Parallel Perceptrons 2]].  Hash kernels, Ranking perceptrons, Structured perceptrons

Revision as of 11:25, 15 February 2018

This is the syllabus for Machine Learning with Large Datasets 10-405 in Spring 2018.

Notes

  • Homeworks, unless otherwise posted, will be due when the next HW comes out.
  • Lecture notes and/or slides will be (re)posted around the time of the lectures.