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Artificial Intelligence: Machine Learning

Artificial Intelligence: Machine Learning

Machine Learning is one of the ten free courses being offered to the public through Stanford Engineering Everywhere. The course belongs to the Artificial Intelligence series and is taught by Andrew Ng, Assistant Professor of Stanford University's Computer Science Department. This course provides a broad introduction to machine learning and statistical pattern recognition. ... Show More
Keywords:
Speech Recognition, Clustering, Kernal Methods, Stanford University, VC Theory, Adaptive Control, Artificial Intelligence, Parametric Learning, Data Mining, Neural Networks, Machine Learning, Statistical Pattern Recognition, Dimensionality Reduction, Robotic Control, Stanford Engineering Everywhere, Autonomous Navigation, Supervised Learning, Andrew Ng, Vector Machines, Web Data Processing, Learning Theory
Disciplines:
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More about this material

Material Type:
Online Course
Date Added to MERLOT:
November 20, 2008
Date Modified in MERLOT:
May 16, 2022
Author:
 
Submitter:
Christopher Kong
Primary Audience:
High School, College General Ed, College Lower Division, College Upper Division, Graduate School, Professional
Technical Format:
Video
Mobile Compatibility:
Not specified at this time
Technical Requirements:
Lecture videos are offered via Silverlight, iTunes, YouTube, and downloadable .wmv and .mp4 torrents. Course materials in the form of .pdf files are also available for download.
Language:
English
Cost Involved:
No
Source Code Available:
No
Accessibility Information Available:
No
Creative Commons:
Creative Commons License
This work is licensed under a Attribution-NonCommercial-ShareAlike 3.0 United States

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Comments

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Dev Shah
Dev Shah (Student)
5 years ago
How to apply and what is the fee structure for this course?
Marcelo Mamud
Marcelo Mamud (Faculty)
13 years ago
It is a very rich material which covers the main concepts about Learning Machine. I wouldn't suggest this material in a self study context because, in my opinion, a good mathematical background is needed.