06-17-2008
learning unix
Hi,
i have started to learn unix (on and off for the past few months) and am wishing to move into that area in the administration field of it.
I have been working in the help desk area (desktop support - windows based) for about 2.5 years and moved into a team leading role for 1 year in which i have totally been fed up with and gave it up.
I currently now study a unix/linux administration course by borris vinnik (from Amazon).
I would like some advise if my material would be suited to find a junior job in the area (any flavor). I have not had luck in the past with trying to attain a junior unix job because of not enough experience and no formal certification. In addition, junior unix roles without any experience show up very rarely here in sydney, Australia.
Are there any other material apart from what i am currently studying now that you could recommend that wont break my budget.
I personally like the linux flavor more though i would not mind going into any other flavor and i would really enjoy the administration side instead of the development side of unix, though does that mean i would need to know heavy programming skills in certain flavors of unix to perform system admin jobs or would that really depend on the job requirements?
Also i am planning to install a Linux OS system and server on a single pc for education, would this be advised? and would this be the most effective way of earning a flavor of unix?
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LEARN ABOUT CENTOS
mail::spamassassin::plugin::autolearnthreshold
Mail::SpamAssassin::Plugin::AutoLearnThreshold(3) User Contributed Perl Documentation Mail::SpamAssassin::Plugin::AutoLearnThreshold(3)
NAME
Mail::SpamAssassin::Plugin::AutoLearnThreshold - threshold-based discriminator for Bayes auto-learning
SYNOPSIS
loadplugin Mail::SpamAssassin::Plugin::AutoLearnThreshold
DESCRIPTION
This plugin implements the threshold-based auto-learning discriminator for SpamAssassin's Bayes subsystem. Auto-learning is a mechanism
whereby high-scoring mails (or low-scoring mails, for non-spam) are fed into its learning systems without user intervention, during
scanning.
Note that certain tests are ignored when determining whether a message should be trained upon:
o rules with tflags set to 'learn' (the Bayesian rules)
o rules with tflags set to 'userconf' (user configuration)
o rules with tflags set to 'noautolearn'
Also note that auto-learning occurs using scores from either scoreset 0 or 1, depending on what scoreset is used during message check. It
is likely that the message check and auto-learn scores will be different.
USER OPTIONS
The following configuration settings are used to control auto-learning:
bayes_auto_learn_threshold_nonspam n.nn (default: 0.1)
The score threshold below which a mail has to score, to be fed into SpamAssassin's learning systems automatically as a non-spam
message.
bayes_auto_learn_threshold_spam n.nn (default: 12.0)
The score threshold above which a mail has to score, to be fed into SpamAssassin's learning systems automatically as a spam message.
Note: SpamAssassin requires at least 3 points from the header, and 3 points from the body to auto-learn as spam. Therefore, the
minimum working value for this option is 6.
bayes_auto_learn_on_error (0 | 1) (default: 0)
With "bayes_auto_learn_on_error" off, autolearning will be performed even if bayes classifier already agrees with the new
classification (i.e. yielded BAYES_00 for what we are now trying to teach it as ham, or yielded BAYES_99 for spam). This is a
traditional setting, the default was chosen to retain backwards compatibility.
With "bayes_auto_learn_on_error" turned on, autolearning will be performed only when a bayes classifier had a different opinion from
what the autolearner is now trying to teach it (i.e. it made an error in judgement). This strategy may or may not produce better future
classifications, but usually works very well, while also preventing unnecessary overlearning and slows down database growth.
perl v5.16.3 2011-06-06 Mail::SpamAssassin::Plugin::AutoLearnThreshold(3)