Machine learning workshop - Princeton University Computer ...



Machine learning workshop

22 February 2008

Resources

Weka

Open source machine learning and data mining toolkit that can be used from the command line, with a GUI, or as an API from your own Java code

Homepage and download



Mailing list



Book:

Witten, Ian, and Eibe Frank. 2005. Data mining: Practical machine learning tools and techniques, 2nd ed. Morgan Kaufmann. ISBN 0-12- 088407-0.

Available at engineering library, Amazon, etc.

Data To Knowledge (D2K) Toolkit

Module-based visual data flow paradigm for data mining and machine learning. Offers easy, integrated parallel processing in conjunction with the D2K server. Proprietary, but available for free to academic researchers and other qualified parties.

Homepage and download



Also available with D2K

D2K Server (for distributed computation with D2K Toolkit)

T2K: Text to Knowledge

I2K: Image to Knowledge

M2K: Music to Knowledge

E2K: Evolution to Knowledge (genetic and evolutionary algorithms)

D2K Streamline (more “user-friendly”)

Attach list of weka classifiers – p. 21 of Tutorial.pdf

Other favorites

SVMLite (in C)

Torch (C++, for SVM, neural networks, HMMs, …)

MATLAB (lots of 3rd party toolkits)

LIBSVM (compatible with many, many languages and environments)

R (lots of statistics support)

A list of graphical model software:

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