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
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