[9/29/2014] Kaggle link for course project is released: http://inclass.kaggle.com/c/nu-cs6220-14f/
[09/8/2014] First day of classes
(Future lectures and events are tentative.)
| Week# | Date | Topic | Slides | Assignment | Project | Reading (Textbook or Other Materials) |
| 2 | Sep. 8 | Introduction and Know Your Data |
01Introduction 02Data |
Chapter 1, 2, 3 Math overview:
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| 3 | Sep.15 |
Course Project Introduction Matrix Data: Prediction (linear regression); Classification (decision tree, evaluation) |
Course Project Overview 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. 22 | Matrix Data: Classification (Naive Bayes, logistic regression) | 04Matrix_Classification_2 | Assign#1 out | Team formation due (Sep. 21) | Chapter 8.3, 9.1 Notes by Tom Mitchell: http://www.cs.cmu.edu/~tom/mlbook/NBayesLogReg.pdf Notes on derivation of P(C_j) in Naive Bayes |
| 5 | Sep. 29 | Matrix Data: Classification (SVM, kNN, and other issues) | 04Matrix_Classification_3 | 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.6 | Matrix Data: Clustering (k-means, hierarchical clustering, DBSCAN, evaluation) | 04Matrix_Clustering_1 | Assign#1 due (Oct. 5)/ Assign#2 out | Chapter 10.1, 10.2, 10.3, 10.4, 10.6 | |
| 7 | Oct. 13 | Columbus Day (No Class) | ||||
| 8 | Oct. 20 | Matrix Data: Clustering (mixture model and EM algorithm, kernel k-means ) | 04Matrix_Clustering_2 | Midterm Report due (Oct. 19) | Chapter 11.1, 11.3 Notes on mixture models and EM algorithm: http://www.stat.cmu.edu/~cshalizi/350/lectures/29/lecture-29.pdf |
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| 9 | Oct. 27 | Set Data: Frequent Pattern Mining (Apriori, FP-growth) | 05Set_FP | Assign#2 due (Oct. 26)Assign#3 out | Chapter 6 | |
| 10 | Nov.3 | Midterm Exam | ||||
| 11 | Nov. 10 | Sequence Data (Sequential pattern mining (GSP, PrefixSpan), HMM) | 06Sequence | Reference:
Chapter 8.3 in Han's Data Mining Book, Edition 2 Papers: GSP, PrefixSpan |
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| 12 | Nov. 17 | Time Series | 07Time_Series | Assign#3 due (Nov. 16) / Assign#4 out | References: DTW | |
| 13 | Nov. 24 | Graph / Network | 08Graph | Read: Graph Mining | ||
| 14 | Dec. 1 | No Class | Assign#4 due (Dec. 1) | |||
| 15 | Dec. 8 | Course Project Due Date (No class) | Final Report & Code (Dec. 8) |