Instance-based learning (aka Case-based or Memory-based or non-parametric)
Tutorial Slides by Andrew Moore
Over a century old, this form of data mining is still being used very intensively by statisticians and machine learners alike. We explore nearest neighbor learning, k-nearest-neighbor, kernel methods and locally weighted polynomial regression. Software and data for the algorithms in this tutorial are available from http://www.cs.cmu.edu/\~awm/vizier. The example figures in this slide-set were created with the same software and data.
Powerpoint Format: The Powerpoint originals of these slides are freely available to anyone who wishes to use them for their own work, or who wishes to teach using them in an academic institution. Please email Andrew Moore at firstname.lastname@example.org if you would like him to send them to you. The only restriction is that they are not freely available for use as teaching materials in classes or tutorials outside degree-granting academic institutions.
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