AI class unit 1: Difference between revisions
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== Applications of AI == | == Applications of AI == | ||
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== Terminology == | == Terminology == | ||
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== Checkers == | == Checkers == | ||
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== Poker Question == | == Poker Question == | ||
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== Robot Car Question == | == Robot Car Question == | ||
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== AI and Uncertainty == | == AI and Uncertainty == | ||
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== Machine Translation == | == Machine Translation == | ||
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== Chinese Translation == | == Chinese Translation == | ||
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== Summary == | == Summary == | ||
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Latest revision as of 15:05, 28 August 2017
These are my notes for unit 1 of the AI class.
Welcome to AI
Introduction
Will deliver a good introduction to AI. Going to be a lot of work, but very rewarding.
New videos every week, and quizzes to test your knowledge built into the videos.
For the advanced version of the course are homework assignments and exams. These will be graded to determine if you can master AI the same way any good Stanford student could do it.
If you finish the course the lecturers will sign a letter of accomplishment and let you know what your rank in the class was.
Course Overview
Purpose of the class:
- To teach the basics of AI artificial intelligence
- To excite you
Structure:
- Videos -> Quizzes -> Answer Videos
- Assignments (like quizzes but without the answers) and exams
Intelligent Agents
The agent has sensors that measure the environment, and actuators that can affect the environment.
The function that maps sensors to actuators is called the Control Policy of the agent.
This is the Perception-Action cycle:
Applications of AI
Terminology
Checkers
Poker Question
Robot Car Question
AI and Uncertainty
Machine Translation
Chinese Translation
Summary