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What is on Your Mind?
Career advice
Post 302107063 by zazzybob on Wednesday 14th of February 2007 05:35:14 AM
02-14-2007
You can also spend your time writing scripts, and generally "poking" around (without breaking anything 
). Look for ways you can automate processes. If you have a spare PC or x86 server, install Linux (or even Solaris 10 x86) on it, and play around with Apache, BIND, Sendmail, Postfix, MySQL, Squid, etc - learning some of these applications will always benefit your resume.
Even now after working with UNIX for many years, I'm still continually learning more. Just "playing" with my systems teaches me a great deal, and looking for new ways to solve already solved problems also is a great learning tool (i.e., can xyz be done smarter?). Perform security audits of your servers. Check for best-practices. Be curious!
Good luck!
Cheers
ZB
). Look for ways you can automate processes. If you have a spare PC or x86 server, install Linux (or even Solaris 10 x86) on it, and play around with Apache, BIND, Sendmail, Postfix, MySQL, Squid, etc - learning some of these applications will always benefit your resume.Even now after working with UNIX for many years, I'm still continually learning more. Just "playing" with my systems teaches me a great deal, and looking for new ways to solve already solved problems also is a great learning tool (i.e., can xyz be done smarter?). Perform security audits of your servers. Check for best-practices. Be curious!
Good luck!
Cheers
ZB
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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)