PowerPoint slides will be available here.
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Chapter 1
Chapter 2
Chapter 3
Chapter 4, Section 4.1
Midterm from last time I taught this class.
Chapter 4, Section 4.2
Chapter 4, Section 4.3
along with a spreadsheet for calculating entropy (right click to download)
Chapter 4, Section 4.4
Chapter 4, Section 4.6
along with a basketball spreadsheet showing the use of linear regression and use of linear regression for a classification problem (right click to download)
along with a bank spreadsheet showing the use of linear regression (right click to download)
Chapter 4, Section 4.7
Chapter 4, Section 4.8
along with a bank purely numeric data spreadsheet showing the use of K Means clustering (right click to download)
along with a another version with a different random starting point showing how different results happen (right click to download)
Not From Book Neural Nets
along with a spreadsheet showing how a Perceptron can learn an AND function (right click to download)
along with a spreadsheet showing how Back Propagation can learn an exclusive OR function (right click to download)
Chapter 5
along with a spreadsheet showing doing a statistical T-test using Excel (right click to download)
and a spreadsheet showing various error measures using Excel (right click to download)
Chapter 7
along with a spreadsheet showing calculations in support of Entropy based discretization (right click to download)
and a spreadsheet showing calculations in support of greedy Entropy binning (right click to download)
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THESE WILL ARRIVE AS WE APPROACH TIME TO COVER THEM.
Anything below here should not be assumed to be complete and ready.
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Another Example Question
Another Example Question Answer
Assignment 4 Answers.htm
Chapter 4, Section 4.7
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Chapter 19 Notes.
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