The list of topics includes:

- Decision Tree
- Bayesian Networks
- Naive Bayesian Classifiers
- K-means and Hierarchical Clustering
- Neural Networks
- Support Vector Machines

Take a look here, you won't be sorry.

Barak

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Computer Science and Software Development blog, focusing on the areas of Data Mining, Text Mining, Machine Learning and Web Development.

## Sunday, October 19, 2008

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Statistical Data Mining Tutorials

## Blog Archive

## About Me

Good Data Mining tutorials are not always easy to come by. Fortunately, Andrew Moore who is a professor of at Carnegie Mellon University has created quite a few excellent tutorials, covering the basics of Statistical Data Mining and Machine Learning. The tutorials are generally suited for undergrads, but I think just about anyone with a solid math background should be able to keep up. For the mathematically uninitiated (myself included) , Andrew also gives a good introduction to probability theory, so you're pretty much covered either way.

The list of topics includes:

Take a look here, you won't be sorry.

Barak

The list of topics includes:

- Decision Tree
- Bayesian Networks
- Naive Bayesian Classifiers
- K-means and Hierarchical Clustering
- Neural Networks
- Support Vector Machines

Take a look here, you won't be sorry.

Barak

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