14 captures
09 Dec 2012 - 05 Oct 2022
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Feb
22
2013
2014
2015
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About this capture
TIMESTAMPS
The Wayback Machine - https://web.archive.org/web/20140122072750/https://www.udacity.com/wiki/cs271
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Course Catalog
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History
Course materials
Contents
1
Course materials
1.1
Course Notes
1.2
External programming exercises:
Downloadable videos and subtitles
Course Notes
1. Welcome to AI
2. Problem Solving
3. Probability in AI
4. Probabilistic Inference
5. Machine Learning
6. Unsupervised Learning
7. Representation with Logic
8. Planning
9. Planning under Uncertainty
10. Reinforcement Learning
11. Hidden Markov Models and Filters
12. Markov Decision Process Review
13. Games
14. Game Theory
External programming exercises:
AI Challenges
PacMan Projects
Hackerrank AI Puzzles