Bringing Big Data to the Big Tent.
The article discusses how open source tools can assist data science. Topic covered include the differences between investigational data science and operational data science, the various open source resources for data science such as the R statistical programming language and the Apache Spark cluster...
| Publicado en: | Communications of the ACM Vol. 58; no. 7; pp. 17 - 20 |
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| Formato: | Artículo |
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Association for Computing Machinery
Jul2015
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=hlh&AN=103432027&site=ehost-live header: @attributes: shortDbName: hlh uiTerm: 103432027 longDbName: Humanities International Complete uiTag: AN controlInfo: bkinfo: jinfo: jid: 00010782 ACM jtl: Communications of the ACM issn: 00010782 maglogo: N pubinfo: dt: Jul2015 vid: 58 iid: 7 pid: 68 pub: Association for Computing Machinery artinfo: ui: 103432027 10.1145/2771299 ppf: 17 ppct: 3 formats: tig: atl: Bringing Big Data to the Big Tent. aug: au: Goth, Gregory su: Data science Open source software Big data R (Computer program language) Information science Computer architecture Computer science sug: subj: Data science Open source software Big data R (Computer program language) Information science Computer architecture Computer science ab: The article discusses how open source tools can assist data science. Topic covered include the differences between investigational data science and operational data science, the various open source resources for data science such as the R statistical programming language and the Apache Spark cluster computing platform and its companion machine learning library developed at the AMPLab, and the mlpack research which shows benchmarks that are faster than those of other open source platforms such as Shogun and Weka. pubtype: Periodical doctype: Article src: R language: English refInfo: copyright: @attributes: flag: Y dt: @attributes: year: 2015 holdings: @attributes: islocal: N |
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