Seneca College teams with FOSS projects for hands-on learning

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07-21-2008

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Seneca College teams with FOSS projects for hands-on learning

07-21-2008 01:00 PM
Where most computer science departments emphasize theory and mention free and open source software (FOSS) only indirectly, Seneca College in Toronto, Canada, offers a different approach: a hands-on introduction to the community in partnership with the Mozilla and Fedora projects. Now in its third year, the program is expanding rapidly and receiving attention from other academic institutions that hope to imitate it.

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LEARN ABOUT DEBIAN

weka

WEKA(1) 						      General Commands Manual							   WEKA(1)

NAME

       weka - Machine learning algorithms for data mining tasks

SYNOPSIS

       weka [OPTION]

DESCRIPTION

       This manual page documents briefly the weka, command.

       weka -- start the weka machine learning suite

OPTIONS

       A summary of options is included below.

       -h, --help
	      Show summary of options.

       -g, --gui INTERFACE
	      Start the weka gui using the MDI or SDI interface.

       -m, --memory MEMORY
	      The amount of memory to use for the Java Virtual Machine (default: 256m).

       -c, --class CLASS
	      Start weka using an alternative class (default: weka.gui.Main).

SEE ALSO

       lush(1),shogun(1),svm-train(1)

       Weka example datasets are located in
	      /usr/share/doc/weka/examples.

       Weka tutorials and the full documentation can be found in
	      /usr/share/doc/weka-doc if the weka-doc package is installed.

AUTHOR

       weka was written by the Waikato Machine Learning Group <wekalist@list.scms.waikato.ac.nz>.

       This manual page was written by Soeren Sonnenburg <sonne@debian.org>, for the Debian project (but may be used by others).

								December  19, 2007							   WEKA(1)

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