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MERLOT II

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CS229 Machine Learning

        

CS229 Machine Learning

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This course provides a broad introduction to machine learning and statistical pattern recognition. Topics include: supervised learning (generative/discriminative learning, parametric/non-parametric learning, neural networks, support vector machines); unsupervised learning (clustering, dimensionality reduction, kernel methods); learning theory (bias/variance tradeoffs; VC theory; large margins); reinforcement learning and adaptive control. The course will also discuss recent applications of... More
Material Type: Online Course
Date Added to MERLOT: October 20, 2011
Date Modified in MERLOT: August 03, 2015
Author:
Submitter: Sorel Reisman

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Mobile Compatibility: Not specified at this time
Language: English
Cost Involved: no
Source Code Available: unsure
Accessiblity Information Available: unsure
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