CS229 Machine Learning
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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: October 20, 2011
Author:
Submitter: Sorel Reisman

Details

  • Reviewed by members of Editorial board for inclusion in MERLOT.
    Editor Review (not reviewed)
  • User Rating (not rated)
  • Comments (none)
  • Learning Exercises (none)
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Mobile Compatibility: Not specified at this time
Language: English
Cost Involved: no
Source Code Available: unsure
Accessiblity Information Available: unsure
Creative Commons: unsure

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