Dr. Anthony Babinec will present his online data mining course Sept. 9 Oct. 7. This course covers two core paradigms of data mining: classification and prediction. Five techniques will be used: k-nearest neighbors, classification and regression trees (CART), neural nets, logistic regression and multiple linear regression.
The course will also cover the use of partitioning to divide the data into training data (data used to build a model), validation data (data used to assess the performance of different models, or, in some cases, to fine tune the model) and test data (data used to predict the performance of the final model).
Dr. Babinec is the president of AB Analytics and served previously as Director of Advanced Products Marketing at SPSS; he worked on the marketing of Clementine and introduced CHAID, neural nets and other advanced technologies to SPSS.
As with all online courses at statistics.com, there are no set hours when you must be online, and you can interact with the instructor over a period of 4 weeks via a private discussion board. We estimate you will need about 10 hours per week.
Registration: $399 ($299 academic) <http://www.statistics.com/content/courses/datamining/index.html>http://www.statistics.com/content/courses/datamining/index.html Peter Bruce [EMAIL PROTECTED]
