Easy AI with Python (#115)
Raymond Hettinger
45min ◊◊ Intermediate
Friday 04:15pm, Ballroom D
categories:
invited
Survey several basic AI techniques implemented with short, open-source Python code recipes. Appropriate for educators and programmers who want to experiment with AI and apply the recipes to their own problem domains. For each technique, learn the basic operating principle, discuss an approach using Python, and review a worked out-example. We'll cover database mining using neural nets, automated categorization with a naive Bayesian classifier, solving popular puzzles with depth-first and breath-first searches, solving more complex puzzles with constraint propagation, and playing a popular game using a probing search strategy.
Files:
| file | size | uploaded | comment |
|---|---|---|---|
| PyCon2009_AI_Alt.ppt | 357.5 KB | Sat, March 28th, 3:11 p.m. | slides |
| PyCon2009_AI_Alt.pdf | 614.3 KB | Sat, March 28th, 6:31 p.m. | PDF Version |
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