No.Starch.Press.Ending.Spam.Jul.2005.eBook-BBL

Section
0day
Group
BBL
Size
2,10 MB
Files
3
Date
2005-09-08

NFO

                                                                               
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    ▌████    RELEASE INFORMATION                                               
    ▌████                                                                      
    ▌████  TITLE     : Ending Spam: Bayesian Content Filtering and the Art of  
    ▌████              Statistical Language Classification                     
    ▌████  AUTHOR    : Jonathan A. Zdziarski                                   
    ▌████  PUBLISHER : No Starch Press                                         
    ▌████  ISBN      : 1593270526                                              
    ▌████  EDITION   : 1st                                                     
    ▌████  PUB DATE  : July 01, 2005                                           
    ▌████  FORMAT    : CHM                                                     
    ▌████  SIZE      : 2,01 MB                                                 
    ▌████  RLS DATE  : 09/08/05                                                
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    ▌████    RELEASE NOTES                                                     
    ▌████                                                                      
    ▌████  Considerable research and some brilliant minds have invented        
    ▌████  clever new ways to fight spam in all its nefarious forms. This      
    ▌████  landmark title describes, in-depth, how statistical filtering is    
    ▌████  being used by next generation spam filters to identify and filter   
    ▌████  spam. The author explains how spam filtering works and how          
    ▌████  language classification and machine learning combine to produce     
    ▌████  remarkably accurate spam filters. Readers gain a complete           
    ▌████  understanding of the mathematical approaches used in today's spam   
    ▌████  filters, decoding, tokenization, the use of various algorithms      
    ▌████  (including Bayesian analysis and Markovian discrimination), and     
    ▌████  the benefits of using open-source solutions to end spam.            
    ▌████  Interviews with the creators of many of the best spam filters       
    ▌████  provide further insight into the anti-spam crusade. Fascinating     
    ▌████  reading for any geek.                                               
    ▌████                                                                      
    ▌████                                                                      
    ▌████  http://www.amazon.com/exec/obidos/tg/detail/-/1593270526/           
    ▌████                                                                      
    ▌████    INSTALL INFORMATION                                               
    ▌████                                                                      
    ▌████  Unzip, unrar and enjoy                                              
    ▌████                                                                      
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    ▌████    GREETINGS                                                         
    ▌████                                                                      
    ▌████  Greetings to ALL our Friends                                        
    ▌████                                                                      
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    ▌████    NEWS                                                              
    ▌████                                                                      
    ▌████  We are currently looking for:                                       
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    ▌████                                                                      
    ▌████  mEXX!BBL 2005                             Last updated: 07/24/2005  
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Files

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.raidenftpd.acl0 B
b-151a01.zip1,44 MB
b-151a02.zip680,08 KB