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From the page: "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... more
Reviewed by Teeg Nov 30 2005, 05:31pm ( 5 reviews ) • autonlab.org
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Rated by barryr666 on Aug 04, 7:31am
A hell of a lot of information in the form of tutorials on statistical analysis and probability theory.
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Rated by swegner on Dec 13 2008, 5:43pm
A lot of really good tutorials on machine learning here. Great resource if you're just getting your feet wet, or studying for an upcoming exam. :)
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Rated by Teeg on Nov 30 2005, 5:31pm
From the page: "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."
