CSC 470 - Review

Curricula
syllabus |
announcements |
assignments | discussion

Archives
student work |
review notes

Resources
research materials |
tutorials | |

Contacts
home to: course | instructor |
department | La Salle home

E-Mail: redmond@lasalle.edu  


PowerPoint slides will be available here.

. 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.