06-11-2015
Best way to learn Linux
I have some familiarity with Linux, but I want to start learning it, in more detail, now. I will install something like VirtualBox from Oracle, with Centos, as distro, I think. I've been already testing something like this, end I ended up picking Centos for this.
I have some time that I can invest in this, and I want to do it very good. I will be getting up to 10 separate books from Amazon (the best), if needed, and going over all of them. In general, I am a webmaster, and I want to learn Linux and server administration, in order to be able to do everything that is needed on unmanaged hosting plans. I want to get any plan that may be needed (unmanaged, and at a good price), install everything that is needed there, make sure it is secure, be able to fix anything that comes up (like support tickets with managed hosting), and so on.
I dont want to be learning unnecessary things, as I am not a programmer or anything like that, even though I am familiar with php and mysql. I would like to know Linux and command line, and server administration (Apache and Nginx) would be the most important part. Whatever may be needed for running websites, is what I want to learn, but not necessarily like Linux programming, lets say.
Please let me know, what would be the best way to go, with this, and if you know about any good books for it, please let me know too.
Thanks.
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LEARN ABOUT SUSE
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.
perl v5.12.1 2010-03-16 Mail::SpamAssassin::Plugin::AutoLearnThreshold(3)