Machine learning workshop

crazymeasleΤεχνίτη Νοημοσύνη και Ρομποτική

15 Οκτ 2013 (πριν από 4 χρόνια και 2 μήνες)

90 εμφανίσεις

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


http://www.cs.waikato.ac.nz/ml
/weka/

Mailing list



http://list.scms.waikato.ac.nz/mailman/listinfo/wekalist

Book:


Witten, Ian, and Eibe Frank. 2005.
Data mining: Practical machine

learning tools and techniques
, 2
nd

ed. Morgan Kaufmann. ISBN
0
-
12
-

088407
-
0.


Available at engineerin
g 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 aca
demic researchers and other qualified
parties.


Homepage and download


http://alg.ncsa.uiuc.edu/do/tools/d2k


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, …)

MA
TLAB (lots of 3
rd

party toolkits)

LIBSVM (compatible with many, many languages and environments)

R (lots of statistics support)

A list of graphical model software:

http://www.cs.ubc.ca/~murphyk/Software/bnsoft.html