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Data analysis with open source tools by Philipp K. Janert [electronic book] /

By: Contributor(s): Material type: Computer fileComputer filePublisher: Farnham O'Reilly, 2010Description: 1 online resource (xviii, 532 pages) : illustrations, charts, tablesContent type:
  • text
Media type:
  • computer
Carrier type:
  • online resource
ISBN:
  • 9781449301859
  • 9781449301859
Subject(s): Online resources: Summary: These days it seems like everyone is collecting data. But all of that data is just raw information -- to make that information meaningful, it has to be organized, filtered, and analyzed. Anyone can apply data analysis tools and get results, but without the right approach those results may be useless. In Real World Data Analysis, author Philipp Janert teaches you how to think about data: how to effectively approach data analysis problems, and how to extract all of the available information from your data. Janert covers univariate data, data in multiple dimensions, time series data, graphical techniques, data mining, machine learning, and many other topics. He also reveals how seat-of-the-pants knowledge can lead you to the best approach right from the start, and how to assess results to determine if they're meaningful
List(s) this item appears in: EBOOK: ATU Libraries Galway - Mayo - Connemara
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eBooks eBooks ATU Electronic Resources Multi-User eBook (Browse shelf(Opens below)) Available eBook - click link above to access ebk132584

Includes bibliographical references and index

Restricted to GMIT Library patrons

These days it seems like everyone is collecting data. But all of that data is just raw information -- to make that information meaningful, it has to be organized, filtered, and analyzed. Anyone can apply data analysis tools and get results, but without the right approach those results may be useless. In Real World Data Analysis, author Philipp Janert teaches you how to think about data: how to effectively approach data analysis problems, and how to extract all of the available information from your data. Janert covers univariate data, data in multiple dimensions, time series data, graphical techniques, data mining, machine learning, and many other topics. He also reveals how seat-of-the-pants knowledge can lead you to the best approach right from the start, and how to assess results to determine if they're meaningful

eBook, Available via GMIT Library webpage Available via GMIT Library webpage

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