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:
- Decision Tree
- Bayesian Networks
- Naive Bayesian Classifiers
- K-means and Hierarchical Clustering
- Neural Networks
- Support Vector Machines
And much much more!
Take a look
here, you won't be sorry.
Barak
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