Useful links and online information

• Deep Learning Book by Ian Goodfellow and Yoshua Bengio and Aaron Courville.
• Reinforcement Learning: An Introduction by Richard S. Sutton and Andrew G. Barto.
• UC Irvine Machine Learning Repository.
• Computer Vision Home Page
• Face recognition homepage.
• A Java Applet for computing Voronoi diagrams.
• Statistical Pattern Recognition Toolbox.
• Introduction to Probability -- Charles Grinstead and Laurie Snell.
• Kernel Methods Homepage.
• Introduction to Support Vector Machines.
• DARPA Urban Challenge.
• Journal of Machine Learning Research.
• IEEExplore provides provides full-text access to IEEE transactions, journals, magazines and conference proceedings published since 1988 and all current IEEE Standards.
• ACM Digital Library.
• The Apache SpamAssassin Project.
• Matlab online documents.
• Introduction to Matlab ( http://ie.tamu.edu/people/faculty/butenko/INEN623/matlab.pdf).
• Octave (similar to Matlab but is free).
• The Weka Web Site.
• Pattern Theory Group.
• National Human Genome Research Institute.
• Convolutional neural networks.
• OpenDT (Decision tree and decision tree ensembles).
• Commercial Tools for Bayesian Networks: HUGIN.
• Commercial Tools for Bayesian Networks: AgenaRisk.
• Bayesian Net Toolbox.
• IBM Watson.
• Building Watson.
• Autonomous Car Driving through heavy City Traffic.

Important dates

• Class meeting time: Tuesday and Thursday, 3:35PM-4:50PM

News and Announcements

• The course number is CAP 5638.
• Class meeting time: Tuesday and Thursday, 3:35PM-4:50PM
• Meeting location: LOV 103

Handouts

• Midterm 2002    (Word format).
• Midterm 2004.
• Midterm 2005.
• Midterm 2008.
• Midterm 2009.
• Midterm 2012.
• Midterm 2013.

Assignments and Solutions

© 2017, Florida State University. Last modified Aug. 20, 2017