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Welcome to PBworks

This is a real workspace!  Please edit this page, create new pages, and invite others to use this workspace with you.

 

Get Great Ideas!

  • Learn what makes a good collaboration project and see how other PBworks customers are using their workspaces. Check out our PBworks educator community.

 

Need Help? We're here for you:

  • The PBworks Manual and 30-second training videos can help show you how to edit, add videos and invite users.
  • The best way to get your support questions answered is to click the help link at the top of this page. Our support gurus will get back to you asap. 

 

 

General Sequence of Classes:

 

Beginning Applied Machine Learning

Machine Learning 101:   Learn about ML algorithms and implement them in r  

Machine Learning 102:  Enable you to read and implement algorithms from current papers

 

Modern Applied Machine Learning

Machine Learning 201:    Advanced Regression Techniques, Generalized Linear Models, and Generalized Additive Models    

Machine Learning 202:   Collaborative Filtering, Bayesian Belief Networks, and Advanced Trees

 

Advanced Topics

Machine Learning 300 series:  

 

Extended Machine Learning Project (Competition)

Machine Learning 400:

 

 

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