AIClass: Difference between revisions
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(→Topics) |
(→Topics) |
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*IBM Watson |
*IBM Watson |
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*Hidden Markov Models |
*Hidden Markov Models (lecture 6) |
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** [http://www.cs.ubc.ca/~murphyk/Bayes/rabiner.pdfom Rabiner Tutorial] |
** [http://www.cs.ubc.ca/~murphyk/Bayes/rabiner.pdfom Rabiner Tutorial] |
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** [http://www.cs.sjsu.edu/faculty/stamp/RUA/HMM.pdf Stamp Review of Rabiner] |
** [http://www.cs.sjsu.edu/faculty/stamp/RUA/HMM.pdf Stamp Review of Rabiner] |
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** [http://en.wikipedia.org/wiki/Baum%E2%80%93Welch_algorithm Baum-Welch Algorithm] |
** [http://en.wikipedia.org/wiki/Baum%E2%80%93Welch_algorithm Baum-Welch Algorithm] |
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*Bayesian Networks |
*Bayesian Networks (lecture 4 and 5) |
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*Perceptrons/Neural Networks |
*Perceptrons/Neural Networks (lecture 3 and 4) |
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** [http://harold.uits.indiana.edu/~jtillots/AI-class/lectures/lecture3/lecture3.txt Topics and Readings] |
** [http://harold.uits.indiana.edu/~jtillots/AI-class/lectures/lecture3/lecture3.txt Topics and Readings] |
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** [http://page.mi.fu-berlin.de/rojas/neural/chapter/ Rojas' online Neural Network book] |
** [http://page.mi.fu-berlin.de/rojas/neural/chapter/ Rojas' online Neural Network book] |
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** [http://channel9.msdn.com/Events/Build/2013/2-401 Video on developing neural networks] |
** [http://channel9.msdn.com/Events/Build/2013/2-401 Video on developing neural networks] |
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*Genetic Algorithms |
*Genetic Algorithms (lecture 2) |
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** Readings |
** Readings |
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*** http://burakkanber.com/blog/machine-learning-genetic-algorithms-part-1-javascript/ |
*** http://burakkanber.com/blog/machine-learning-genetic-algorithms-part-1-javascript/ |
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*** [http://harold.uits.indiana.edu/~jtillots/AI-class/lectures/lecture2/knapsack.c Data and data structure] |
*** [http://harold.uits.indiana.edu/~jtillots/AI-class/lectures/lecture2/knapsack.c Data and data structure] |
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*Search |
*Search (lecture 1) |
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** [http://harold.uits.indiana.edu/~jtillots/AI-class/lectures/lecture1/lecture1.txt Topics and Readings] |
** [http://harold.uits.indiana.edu/~jtillots/AI-class/lectures/lecture1/lecture1.txt Topics and Readings] |
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** [http://harold.uits.indiana.edu/~jtillots/AI-class/lectures/lecture1 Slides] |
** [http://harold.uits.indiana.edu/~jtillots/AI-class/lectures/lecture1 Slides] |
Revision as of 17:57, 27 March 2014
Information
- Class mailing list: AI-class@bloominglabs.org
Logging into the pogolinux box:
At Bloominglabs: 192.168.1.100 port 2200 Outside of Bloominglabs: bloominglabs.no-ip.org port 2200
For an ssh client for windows, I would use putty
Resources
Topics
- IBM Watson
- Hidden Markov Models (lecture 6)
- Bayesian Networks (lecture 4 and 5)
- Perceptrons/Neural Networks (lecture 3 and 4)
- Genetic Algorithms (lecture 2)
- Readings
- Online examples
- Examples from class
- Homework
- Implement an algorithm that solves the knapsack problem
- See the second reading for a description of the problem
- Data and data structure
- Search (lecture 1)