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From:Garot Conklin Date:August 21 2012 3:06pm
Subject:Re: Machine Learning
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I LOVE HAL9001!! That IS the idea!! 


 
garotconklin@stripped


________________________________
 From: Martin Gainty <mgainty@stripped>
To: michael@stripped; "mysql@stripped" <mysql@stripped> 
Sent: Tuesday, August 21, 2012 8:41 AM
Subject: RE: Machine Learning
 

Forgive my flawed human intervention into the flawlessly scheduled and impeccably managed
operational tasks performed by the 'perfect machine'
I guess its time for another 'stress pill'

Martin 



> Date: Tue, 21 Aug 2012 04:40:49 -0500
> From: michael@stripped
> To: mysql@stripped
> Subject: Re: Machine Learning
> 
> I think it was the HAL-9000 in the movie 2001: A Space Odyssey
> 
> 
> On 08/20/2012 06:25 PM, Martin Gainty wrote:
> > When I hear 'AI' I always imagine theres a HAL 9001 behind the scenes that is
running the show constantly admonishing its creator to "take another stress pill"
> >
> > Sounds like a fun project
> >
> > Keep us apprised,
> > Martin Gainty
> > ______________________________________________
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> >
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> >
> >
> > Date: Mon, 20 Aug 2012 13:50:04 -0700
> > From: garotconklin@stripped
> > Subject: Re: Machine Learning
> > To: webmaster@stripped; mgainty@stripped; mysql@stripped
> >
> > Ya the idea is not anything new, but must be apparently quit difficult or not a
priority as I have yet to find it already implemented anywhere... Far be it from me to not
make some attempt here anyway...
> > I am creating a fully automated framework from which a distributed
infrastructure can be maintained.  I have been writing automation scripts/code for
some time now and the logical progression is to embark on a full concept of systems
health auto remediation.  I have numerous "monitoring" solutions under my control
however none that properly
> >   (in my opinion) implements any real learning algorithms from which to
draw even a minimalists view of automation.  I like mySQL therefor began thinking
about creating the aspects (lobes) of the "brain" as a relational database(s).  So
this is only one facet of what I am trying to do, however leveraging a full command set
of shell utilities/commands/programs seemed to be a good starting point before I get into
the "hard" stuff !
> >
> > -Garot
> >  garotconklin@stripped
> >          From: "webmaster@stripped"
<webmaster@stripped>
> >   To: 'Martin Gainty' <mgainty@stripped>; garotconklin@stripped;
mysql@stripped
> >   Sent: Monday, August 20, 2012 3:55 PM
> >   Subject: RE: Machine Learning
> >    
> >
> > Hi Garot,
> >
> >  
> >
> > You'll have to elaborate some more ... I understand you may want to protect
> > the idea as well, so if you can narrow it down to some technical specifics
> > then it'll help.
> >
> >  
> >
> > What is the objective of this system, for instance ?
> >
> >  
> >
> > Thanks,
> >
> > Justin
> >
> >  
> >
> > From: Martin Gainty [mailto:mgainty@stripped]
> > Sent: 20 August 2012 19:23
> > To: garotconklin@stripped; webmaster@stripped; mysql@stripped
> > Subject: RE: Machine Learning
> >
> >  
> >
> >  
> >
> > From: garotconklin@stripped
> > Subject: Re: Machine Learning
> > To: webmaster@stripped; mgainty@stripped; mysql@stripped
> >
> >
> > My initial thought was to propagate the db with everything and allow the
> > algorithm to then begin to determin trends/patterns
> > MG>which trends or patterns will you be modelling?
> >
> > and begin either an indexing methodology
> > MG>which indexes are you considering: Unique index, primary index or foreign
> > index?
> >
> > additional table/db creation process or both to further optimize the calls
> > being made
> > MG>optimize based on execution time or diskspace allocated, EliminatingFTS
> > or some other criteria?
> > MG>https://dev.mysql.com/doc/refman/5.5/en/optimization.html
> >
> >   and build in some internal levels of redundancy.
> > MG>what about replication
> > MG>http://dev.mysql.com/doc/refman/5.5/en/replication.html
> >
> > I am actually approaching this with some degree of biological conception in
> > the multipathing within our own brains however until I have something up and
> > running under some substantial load however I may not get a complete
> > picture.
> >
> > Thanks,
> >
> > Garot
> >
> >
> > Interesting
> > Martin
> >
> >    _____
> >
> > From: webmaster@stripped <webmaster@stripped>;
> > To: 'Garot
> >   Conklin' <garotconklin@stripped>; 'Martin Gainty'
> > <mgainty@stripped>; <mysql@stripped>;
> > Subject: RE: Machine Learning
> > Sent: Mon, Aug 20, 2012 7:13:25 AM
> >
> >
> > Hi Garot,
> >
> > This sounds an interesting idea.
> >
> > Are you looking to store all known commands and their options or are you
> > looking for a 'formula' for calling any unix command ?
> >
> > The reason for my question is that, at the end of the day, a unix command is
> > just a program that is run in the operating system. Each program comes with
> > its own options and acceptable inputs. I don't know if there is a rule or
> > convention for structuring these commands.
> >
> > Are you then looking to build a
> >   system that 'knows' all commands and 'how
> > to' call them ?
> >
> > Thanks,
> > Justin
> >
> > -----Original Message-----
> > From: Garot Conklin [mailto:garotconklin@stripped]
> > Sent: 20 August 2012 03:39
> > To: Martin Gainty; mysql@stripped
> > Subject: Re: Machine Learning
> >
> > The initial goal is to provide a working framework from which to call all
> > UNIX shell command combinations as the underlying storage mechanism for a
> > machine learning algorithm.  I would like to build a completely self aware
> > instantiation that will maintain itself on all levels... I postulate that
> > the first place to start would be in determining a method for maintaining
> > all possible remediation combinations including the unknown to eventually be
> > learned from and populate new knowledge
> >   into the database.  Thank you for
> > the reply,
> >
> > Garot
> >
> >  
> >
> >
> >
> >                   
           
> 
> 
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Thread
Machine LearningGarot Conklin19 Aug
  • RE: Machine LearningMartin Gainty19 Aug
Re: Machine LearningGarot Conklin20 Aug
  • RE: Machine Learningwebmaster20 Aug
Re: Machine LearningGarot Conklin20 Aug
  • RE: Machine LearningMartin Gainty20 Aug
    • Re: Machine LearningGarot Conklin20 Aug
    • RE: Machine Learningwebmaster20 Aug
      • Re: Machine LearningGarot Conklin20 Aug
        • RE: Machine LearningMartin Gainty20 Aug
          • Re: Machine LearningMichael21 Aug
            • RE: Machine LearningMartin Gainty21 Aug
              • Re: Machine LearningGarot Conklin21 Aug
          • RE: Machine Learningwebmaster21 Aug
            • Re: Machine LearningGarot Conklin21 Aug
              • RE: Machine Learningwebmaster21 Aug
                • RE: Machine LearningMartin Gainty21 Aug
                • RE: Machine LearningMartin Gainty21 Aug
                • RE: Machine LearningMartin Gainty21 Aug
                • Re: Machine LearningGarot Conklin21 Aug
                  • Re: Machine LearningGarot Conklin21 Aug
                    • Re: Machine LearningGarot Conklin22 Aug
                      • Re: Machine Learningshawn wilson23 Aug
RE: Machine LearningMartin Gainty23 Aug
  • Re: Machine LearningGarot Conklin23 Aug
    • RE: Machine Learningwebmaster24 Aug
      • RE: Machine LearningMartin Gainty24 Aug
      • Re: Machine LearningGarot Conklin24 Aug