Isbn: 9783319285290 - numeric computation and statistical data analysis on the java platform (advanced information and knowledge processing) (8 Ergebnisse)

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  • Sprache: Englisch

    Verlag: Springer, 2016

    3319285297 / 9783319285290

    Serie: Buch 50 von 66 - Advanced Information and Knowledge Processing

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    Zustand: New. In English.

  • Sprache: Englisch

    Verlag: Springer, 2016

    3319285297 / 9783319285290

    Serie: Buch 50 von 66 - Advanced Information and Knowledge Processing

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    Buch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - Numericalcomputation, knowledge discovery and statistical data analysis integrated withpowerful 2D and 3D graphics for visualization are the key topics of this book. ThePython code examples powered by the Java platform can easily be transformed toother programming languages, such as Java, Groovy, Ruby and BeanShell. Thisbook equips the reader with acomputational platform which, unlike other statistical programs, is not limitedby a single programming language.The authorfocuses on practical programming aspects and covers a broad range of topics,from basic introduction to the Python language on the Java platform (Jython),to descriptive statistics, symbolic calculations, neural networks, non-linearregression analysis and many other data-mining topics. He discusses how to findregularities in real-world data, how to classify data, and how to process datafor knowledge discoveries. The code snippets are so short that they easily fit intosingle pages.Numeric Computation and Statistical DataAnalysis on the Java Platform is a great choice for those who want to learn how statisticaldata analysis can be done using popular programming languages, who want tointegrate data analysis algorithms in full-scale applications, and deploy suchcalculations on the web pages or computational servers regardlessof their operating system. It is an excellent reference for scientific computations to solvereal-world problems using a comprehensive stack of open-source Javalibraries included in the DataMelt (DMelt) project and will beappreciated by many data-analysis scientists, engineers and students.…

  • Sprache: Englisch

    Verlag: Springer, 2016

    3319285297 / 9783319285290

    Serie: Buch 50 von 66 - Advanced Information and Knowledge Processing

    • Hardcover

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    Hardcover. Zustand: Brand New. 620 pages. 9.25x6.25x1.75 inches. In Stock.

  • Sprache: Englisch

    Verlag: Springer, 2016

    3319285297 / 9783319285290

    Serie: Buch 50 von 66 - Advanced Information and Knowledge Processing

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    Zustand: gut. Numeric Computation and Statistical Data Analysis on the Java Platform In deutscher Sprache. pages.

  • Sprache: Englisch

    Verlag: Springer, 2016

    3319285297 / 9783319285290

    Serie: Buch 50 von 66 - Advanced Information and Knowledge Processing

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    Zustand: new. Questo è un articolo print on demand.

  • Sprache: Englisch

    Verlag: Springer International Publishing Apr 2016, 2016

    3319285297 / 9783319285290

    Serie: Buch 50 von 66 - Advanced Information and Knowledge Processing

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    Anbieter: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, DeutschlandBuchWeltWeit Ludwig Meier e.K.

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    Buch. Zustand: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Numericalcomputation, knowledge discovery and statistical data analysis integrated withpowerful 2D and 3D graphics for visualization are the key topics of this book. ThePython code examples powered by the Java platform can easily be transformed toother programming languages, such as Java, Groovy, Ruby and BeanShell. Thisbook equips the reader with acomputational platform which, unlike other statistical programs, is not limitedby a single programming language.The authorfocuses on practical programming aspects and covers a broad range of topics,from basic introduction to the Python language on the Java platform (Jython),to descriptive statistics, symbolic calculations, neural networks, non-linearregression analysis and many other data-mining topics. He discusses how to findregularities in real-world data, how to classify data, and how to process datafor knowledge discoveries. The code snippets are so short that they easily fit intosingle pages.Numeric Computation and Statistical DataAnalysis on the Java Platform is a great choice for those who want to learn how statisticaldata analysis can be done using popular programming languages, who want tointegrate data analysis algorithms in full-scale applications, and deploy suchcalculations on the web pages or computational servers regardlessof their operating system. It is an excellent reference for scientific computations to solvereal-world problems using a comprehensive stack of open-source Javalibraries included in the DataMelt (DMelt) project and will beappreciated by many data-analysis scientists, engineers and students. 648 pp. Englisch.…

  • Sprache: Englisch

    Verlag: Springer International Publishing, 2016

    3319285297 / 9783319285290

    Serie: Buch 50 von 66 - Advanced Information and Knowledge Processing

    • Hardcover
    • Print-on-Demand

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    Gebunden. Zustand: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Equips readers with a descriptionof the Java computational environment for data mining and knowledge discoverywhich can be used with several scripting languages, such as Python, Groovy andRubyProvides more than 350 examplesillustrating numerical and stat. …

  • Sprache: Englisch

    Verlag: Springer, Springer Apr 2016, 2016

    3319285297 / 9783319285290

    Serie: Buch 50 von 66 - Advanced Information and Knowledge Processing

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    Buch. Zustand: Neu. This item is printed on demand - Print on Demand Titel. Neuware -Numericalcomputation, knowledge discovery and statistical data analysis integrated withpowerful 2D and 3D graphics for visualization are the key topics of this book. ThePython code examples powered by the Java platform can easily be transformed toother programming languages, such as Java, Groovy, Ruby and BeanShell. Thisbook equips the reader with acomputational platform which, unlike other statistical programs, is not limitedby a single programming language.The authorfocuses on practical programming aspects and covers a broad range of topicsfrom basic introduction to the Python language on the Java platform (Jython)to descriptive statistics, symbolic calculations, neural networks, non-linearregression analysis and many other data-mining topics. He discusses how to findregularities in real-world data, how to classify data, and how to process datafor knowledge discoveries. The code snippets are so short that they easily fit intosingle pages.Numeric Computation and Statistical DataAnalysis on the Java Platform is a great choice for those who want to learn how statisticaldata analysis can be done using popular programming languages, who want tointegrate data analysis algorithms in full-scale applications, and deploy suchcalculations on the web pages or computational servers regardlessof their operating system. It is an excellent reference for scientific computations to solvereal-world problems using a comprehensive stack of open-source Javalibraries included in the DataMelt (DMelt) project and will beappreciated by many data-analysis scientists, engineers and students.Springer-Verlag KG, Sachsenplatz 4-6, 1201 Wien 648 pp. Englisch.…