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Machine learning with R- [electronic resource] : learn how to use R to apply powerful machine learning methods and gain an insight into real-world applications
Machine learning with R- [electronic resource] : learn how to use R to apply powerful machine learning methods and gain an insight into real-world applications

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자료유형  
 단행본
International Standard Book Number  
9781461949657 (electronic bk.)
International Standard Book Number  
1461949653 (electronic bk.)
International Standard Book Number  
1306070333 (electronic bk.)
International Standard Book Number  
9781306070331 (electronic bk.)
International Standard Book Number  
9781782162148
Library of Congress Call Number  
QA76.9.A25-L384 2013
Dewey Decimal Classification Number  
005.8-22
Main Entry-Personal Name  
Lantz, Brett.
Publication, Distribution, etc. (Imprint  
Birmingham, UK : Packt Publishing, c2013
Physical Description  
1 online resource.
Summary, Etc.  
요약Written as a tutorial to explore and understand the power of R for machine learning. This practical guide that covers all of the need to know topics in a very systematic way. For each machine learning approach, each step in the process is detailed, from preparing the data for analysis to evaluating the results. These steps will build the knowledge you need to apply them to your own data science tasks.Intended for those who want to learn how to use R's machine learning capabilities and gain insight from your data. Perhaps you already know a bit about machine learning, but have never used R; or
Subject Added Entry-Topical Term  
R (Computer program language) Handbooks, manuals, etc
Subject Added Entry-Topical Term  
Machine learning Statistical methods Handbooks, manuals, etc
Subject Added Entry-Topical Term  
COMPUTERS / Machine Theory.
Subject Added Entry-Topical Term  
COMPUTERS / Programming Languages.
Additional Physical Form Entry  
Print versionLantz, Brett. Machine Learning with R. Packt Publishing 2013 9781782162148
Electronic Location and Access  
로그인을 한후 보실 수 있는 자료입니다.
Control Number  
joongbu:423044

MARC

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■520    ▼aWritten  as  a  tutorial  to  explore  and  understand  the  power  of  R  for  machine  learning.  This  practical  guide  that  covers  all  of  the  need  to  know  topics  in  a  very  systematic  way.  For  each  machine  learning  approach,  each  step  in  the  process  is  detailed,  from  preparing  the  data  for  analysis  to  evaluating  the  results.  These  steps  will  build  the  knowledge  you  need  to  apply  them  to  your  own  data  science  tasks.Intended  for  those  who  want  to  learn  how  to  use  R's  machine  learning  capabilities  and  gain  insight  from  your  data.  Perhaps  you  already  know  a  bit  about  machine  learning,  but  have  never  used  R;  or
■588    ▼aDescription  based  on  print  version  record.
■650  0▼aR  (Computer  program  language)▼vHandbooks,  manuals,  etc
■650  0▼aMachine  learning▼xStatistical  methods▼vHandbooks,  manuals,  etc
■650  7▼aCOMPUTERS  /  Machine  Theory.▼2bisacsh
■650  7▼aCOMPUTERS  /  Programming  Languages.▼2bisacsh
■655  4▼aElectronic  books.
■77608▼iPrint  version▼aLantz,  Brett.▼tMachine  Learning  with  R.▼dPackt  Publishing  2013▼z9781782162148
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