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Page history last edited by mike@mbowles.com 11 years, 8 months ago

Outline for Today

1.  Welcome

     Course Outline

     Some Decisions - Two Open Sessions

          One will be another lecture - What would people like to cover?

          Last will be larger project - Papers?  Class Hackathon - Kaggle competition?

2.  Background on Ensemble Methods

     Combine many "weak learners"

     Widely Used

     Available in R, Mahout, EigenDog, Salford Systems.

     Private versions at Google and Yahoo    

3.  Binary Trees for Classification and Regression




     In class problems



abloneTable <- read.table("http://archive.ics.uci.edu/ml/machine-learning-databases/abalone/abalone.data",header=FALSE, sep=",")





Classification Problems









4.  Strengths and Weaknesses of Trees

5.  AdaBoost - Great Leap Forward


     In class problems.



Recorded class

Part 1. https://datamining.webex.com/datamining/ldr.php?AT=pb&SP=MC&rID=115988617&rKey=9eab3f0b71473bbd


Part 2. https://datamining.webex.com/datamining/ldr.php?AT=pb&SP=MC&rID=115988627&rKey=dede3186b2774fa9





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