[09/24/2013]04Matrix_Classification_1 has been updated.
[09/10/2013] First day of classes
(Future lectures and events are tentative.)
| Week# | Date | Topic | Slides | Assignment | Project | Reading (Textbook or Other Materials) |
| 2 | Sep. 10 | Introduction and Know Your Data |
01intro 02data |
Chapter 1, 2, 3 | ||
| 3 | Sep. 17 |
Course Project Introduction Matrix Data: Prediction (linear regression); Classification (decision tree, evaluation,) |
course_project_introduction course_project_example course_system_introduction 03Matrix_Prediction 04Matrix_Classification_1 |
Notes by Andrew Ng (Sec. 1-3 in Part 1):
http://cs229.stanford.edu/notes/cs229-notes1.pdf Chapter 8.1, 8.2, 8.5 |
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| 4 | Sep. 24 | Matrix Data: Classification (Naive Bayes, logistic regression) | 04Matrix_Classification_2 | Team formation due (Sep. 23) | Chapter 8.3, 9.1 Notes by Tom Mitchell: http://www.cs.cmu.edu/~tom/mlbook/NBayesLogReg.pdf |
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| 5 | Oct. 1 | Matrix Data: Classification (SVM, kNN, and other issues) | 04Matrix_Classification_3 | Assign#1 out | Chapter 9.3, 9.5, 8.6, 9.7 Notes on SVM by Andrew Ng: http://cs229.stanford.edu/notes/cs229-notes3.pdf |
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| 6 | Oct. 8 | Matrix Data: Clustering (k-means, hierarchical clustering, DBSCAN, evaluation) | 04Matrix_Clustering_1 | Chapter 10.1, 10.2, 10.3, 10.4, 10.6 | ||
| 7 | Oct. 15 | Matrix Data: Clustering (mixture model and EM algorithm, kernel k-means ) | 04Matrix_Clustering_2 | Assign#1 due (Oct. 14)/ Assign#2 out | Proposal due (Oct. 16) | Chapter 11.1, 11.3 Notes on mixture models and EM algorithm: http://www.stat.cmu.edu/~cshalizi/350/lectures/29/lecture-29.pdf |
| 8 | Oct. 22 | Set Data: Frequent Pattern Mining (Apriori, FP-growth) | 05Set_Data_FP | Chapter 6 | ||
| 9 | Oct. 29 | Sequence Data (Sequential pattern mining (GSP, PrefixSpan), HMM) | 06Sequence_Data | Assign#2 due (Oct. 28) | Reference:
Chapter 8.3 in Han's Data Mining Book, Edition 2 Papers: GSP, PrefixSpan |
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| 10 | Nov. 5 | Midterm Exam | Assign#3 out | |||
| 11 | Nov. 12 | Time Series | 07Time_Series | Midterm check point (Nov. 11) | References: DTW | |
| 12 | Nov. 19 | Graph / Network | 08Graph_1 | Assign#3 due (Nov. 18) / Assign#4 out | Read: Graph Mining | |
| 13 | Nov. 26 | Graph / Network (Reading by yourself, no class) | 08Graph_2 | |||
| 14 | Dec. 3 | Course Project Final Presentation (Session 1) | Assign#4 due (Dec. 2) | Final Report / Code / Data (early submission, Dec. 2) | ||
| 15 | Dec. 10 |
Course Project Final Presentation (Session 2) |
Final Report / Code / Data (Dec. 9) |