Artificial Intelligence
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| Introduction Prerequisites Reading list Video materials Lecture notes Software Further studies |
Information
Online Introduction to Artificial Intelligence was offered in Fall 2011 and was based on Stanford CS221, Introduction to Artificial Intelligence. This class introduced students to the basics of Artificial Intelligence, which includes machine learning, probabilistic reasoning, robotics, and natural language processing.
Course based on:
Introduction to Artificial Intelligence is based on CS221 at Stanford University.
By Stanfords course numbering system it is classified as 200-299 advanced undergraduate/beginning graduate in the Artificial Language CS area.
Prerequisites
Some of the topics in Introduction to Artificial Intelligence were build on probability theory and linear algebra.
Recommended reading
Artificial Intelligence: A Modern Approach by Stuart Russell and Peter Norvig, also widely referred as the AIMA book.
Additionally you can check out Probabilistic Robotics by Sebastian Thrun, Wolfram Burgard, Dieter Fox.
Video materials
Subs browser - by Eduard Ruzga. Video with side-by-side subtitles and video and ability to jump to exact video second from transcript text.
AI Class Text - by Dragan Sretenovic. Video with side-by-side subtitles.
Lecture notes
Larve code First post - wonderful graphic notes about first weeks of AI class.
