Intro to Artificial Intelligence Class Online - Udacity
English | .MP4 | h264, yuv420p, 640x360, 30.00 fps(r) | aac, 44100 Hz, stereo | 4.42 GB
This course will cover probabilistic inference, planning and search, localization, tracking and control, all with a focus on robotics.
What Should I Know
Some of the topics in Introduction to Artificial Intelligence will build on probability theory and linear algebra. You should have understanding of probability theory comparable to that at our ST101: Introduction to Statistics classClass Summary
The objective of this class is to teach you modern AI. You will learn about the basic techniques and tricks of the trade. We also aspire to excite you about the field of AI.
Overview of AI
Statistics, Uncertainty, and Bayes networks
Logic and Planning
Markov Decision Processes and Reinforcement Learning
Hidden Markov Models and Filters
Adversarial and Advanced Planning
Image Processing and Computer Vision
Robotics and robot motion planning
Natural Language Processing and Information Retrieval
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