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Author Topic: Statistical Data Mining Tutorials  (Read 1907 times)


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Statistical Data Mining Tutorials
« on: August 02, 2006, 09:44:02 PM »
For those of you so inclined, here's a wonderful opportunity to get exposure to statistical techniques different than the Analysis of Variance models commonly described in scientific investigations.....

The following links point to a set of tutorials on many aspects of statistical data mining, including the foundations of probability, the foundations of statistical data analysis, and most of the classic machine learning and data mining algorithms.

These include classification algorithms such as decision trees, neural nets, Bayesian classifiers, Support Vector Machines and cased-based (aka non-parametric) learning. They include regression algorithms such as multivariate polynomial regression, MARS, Locally Weighted Regression, GMDH and neural nets. And they include other data mining operations such as clustering (mixture models, k-means and hierarchical), Bayesian networks and Reinforcement Learning.

from www.stumbleupon.com
Kenneth P. Reeder, Ph.D.
Clinical Psychologist
Jacksonville, North Carolina  28546


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Re: Statistical Data Mining Tutorials
« Reply #1 on: August 03, 2006, 04:11:46 PM »
Wow, what a great resource, Ken, thanks! Those tutorials are like condensing entire textbooks down to 18 pages. Fantastic.