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Material Detail

Probabilistic reasoning: continuos variables and Bayes rules

Probabilistic reasoning: continuos variables and Bayes rules

The training objectives of this learning object are: 1) To represent knowledge with continuous variables; 2) To infer knowledge from continuous variables and the Bayes theorem; and 3) To apply the Bayes rule in general and, in particular, in the case of pattern recognition and machine learning.
Keywords:
probabilistic reasoning, intelligent systems, machine learning, pattern recognition, artificial intelligence
Disciplines:
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More about this material

Material Type:
Animation
Date Added to MERLOT:
December 21, 2019
Date Modified in MERLOT:
December 21, 2019
Authors:
Submitter:
RIUNET Universitat Politècnica de València
Primary Audience:
High School, College General Ed, College Lower Division, College Upper Division, Graduate School
Technical Format:
Video, Website
Mobile Compatibility:
Blackberry, iOS (Apple), Windows Mobile, Android
Language:
English
Cost Involved:
No
Source Code Available:
No
Creative Commons:
Creative Commons License
This work is licensed under a Attribution-ShareAlike 4.0 International

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