| Unit 1 |
Introduction to Data Mining |
Assignment: read chapter 1 in the text. Watch this Video Lecture that gives an overview of Data Mining and Machine Learning. Do homework 1. Email the homework to me by July 20. (2 points extra for ratings, which are evaluations from 1-5 of how good the video is. 5 is best.) |
| Unit 2 |
Data Mining with WEKA |
Assignment: read chapter 2 in the text and read chapter 1 and sections 2.1 - 2.3 in the
online appendix. After reading the assigned material, download and install WEKA, then watch these tutorial videos. This basic tutorial video explains some of the basics of using WEKA, and these three tutorial videos explore WEKA in more depth:
Email the homework to me by July 24. (2 points extra for ratings) |
| Unit 3 |
The Data Mining Process |
Assignment: Read chapter sections 5.1 - 5.5, 5.8 and 5.9 in the text. Do this homework. Email the homework to me by July 28. |
| Unit 4 |
Classification using Decision Trees
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Assignment: Read sections 3.3, 3.4, 4.3, 6.1 and 6.2 in the text
and sections 2.4.2 and 2.4.3
in the online appendix.
Watch this video on decision trees. Do the homework. Email the answers to me by August 1. (2 points extra for ratings) |
| Unit 5 |
Nearest Neighbor Classification |
Assignment: Read sections 3.5, 4.7 and 7.1 in the text and section 2.4.6 in the online appendix. This video explains the basics of nearest neighbors. Do this homework. Email the homework to me by August 5. (2 points extra for ratings) |
| Unit 6 |
Classifying by
Making Numeric Predictions |
Assignment: Read sections 4.6 and 7.3 the text and section 2.4.4 in the online appendix. Watch the following three videos. Video 1 explains model trees, and Video 2 explains what regression trees are. Video 3 shows how to grow these trees. Do this homework. Email the answers to me August 9 (2 points extra for ratings) |
| Unit 7 |
Clustering |
Assignment: Read sections 3.6, 4.8, 9.3 in the text and section 2.5 in the online appendix. Watch the following basic videos. Video 1: Overview of clustering Video 2: K-means algorithm Video 3: K-means example Video 4: Visualization of the EM algorithm Video 5: Clustering Applications at Yahoo Optional advanced videos: k-means video 1 k-means video 2 EM video Do this homework. Email the answers to me by August 13. (2 points extra for ratings) |
| Unit 8 |
Bayesian Analysis
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Assignment: Read sections 4.2 and 9.2 in the text. Watch the following basic video on Bayes Rule. Optional advanced videos on Bayesian inference: Video 1 Video 2 Video 3 Here is an example to illustrate the computations. Do this homework. Email the answers to me by August 17. (2 points extra for ratings) |
| Unit 9 |
Support Vector Machines |
Assignment: Read section 7.2 in the text. These two short videos give a little explanation of SVM: Video 1 Video 2 Here is a video that is technical and explains SVM in detail. If you watch this, ignore the first 4 minutes. Video 3: SVM Do this homework. Email the answers to me by August 21. (2 points extra for ratings) |
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Assignment: Submit the final project by the end of the semester (August 23). |