9783319285290 - numeric computation and statistical data analysis on the java platform: 0 (advanced information and knowledge processing) de chekanov, sergei v. (9 resultados)
Idioma: Inglés
Editorial: Springer 2016
Serie: Advanced Information and Knowledge Processing, Libro 50 de 66. Libro 50 de 66 - Advanced Information and Knowledge Processing
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Librería: GreatBookPrices, Columbia, MD, Estados Unidos de AmericaGreatBookPrices
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Condición: As New. Unread book in perfect condition.
Idioma: Inglés
Editorial: Springer 2016
Serie: Advanced Information and Knowledge Processing, Libro 50 de 66. Libro 50 de 66 - Advanced Information and Knowledge Processing
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Librería: Ria Christie Collections, Uxbridge, Reino UnidoRia Christie Collections
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Condición: New. In English.
Idioma: Inglés
Editorial: Springer 2016
Serie: Advanced Information and Knowledge Processing, Libro 50 de 66. Libro 50 de 66 - Advanced Information and Knowledge Processing
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Librería: GreatBookPrices, Columbia, MD, Estados Unidos de AmericaGreatBookPrices
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EUR 130,67
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Editorial: Springer, Springer 2016
Serie: Advanced Information and Knowledge Processing, Libro 50 de 66. Libro 50 de 66 - Advanced Information and Knowledge Processing
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Librería: AHA-BUCH GmbH, Einbeck, AlemaniaAHA-BUCH GmbH
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EUR 106,99
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Buch. Condición: 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 pr…ogramming 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.
Idioma: Inglés
Editorial: Springer 2016
Serie: Advanced Information and Knowledge Processing, Libro 50 de 66. Libro 50 de 66 - Advanced Information and Knowledge Processing
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Librería: Revaluation Books, Exeter, , Reino UnidoRevaluation Books
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Hardcover. Condición: Brand New. 620 pages. 9.25x6.25x1.75 inches. In Stock.
Idioma: Inglés
Editorial: Springer 2016
Serie: Advanced Information and Knowledge Processing, Libro 50 de 66. Libro 50 de 66 - Advanced Information and Knowledge Processing
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Librería: Brook Bookstore On Demand, Napoli, NA, ItaliaBrook Bookstore On Demand
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Condición: new. Questo è un articolo print on demand.
Idioma: Inglés
Editorial: Springer International Publishing Apr 2016 2016
Serie: Advanced Information and Knowledge Processing, Libro 50 de 66. Libro 50 de 66 - Advanced Information and Knowledge Processing
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Librería: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, , AlemaniaBuchWeltWeit Ludwig Meier e.K.
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EUR 106,99
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Buch. Condición: 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 transf…ormed 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.
Idioma: Inglés
Editorial: Springer International Publishing 2016
Serie: Advanced Information and Knowledge Processing, Libro 50 de 66. Libro 50 de 66 - Advanced Information and Knowledge Processing
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Librería: moluna, Greven, , Alemaniamoluna
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EUR 89,99
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Condición: 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 ex…amplesillustrating numerical and stat.
Idioma: Inglés
Editorial: Springer, Springer Apr 2016 2016
Serie: Advanced Information and Knowledge Processing, Libro 50 de 66. Libro 50 de 66 - Advanced Information and Knowledge Processing
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Librería: buchversandmimpf2000, Emtmannsberg, BAYE, Alemaniabuchversandmimpf2000
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EUR 106,99
Envío por EUR 60,00Se envía de Alemania a Estados Unidos de AmericaCantidad disponible: 1 disponibles
Buch. Condición: 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 transforme…d 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.
