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Numeric Computation and Statistical Data Analysis on the Java Platform

Name: Numeric Computation and Statistical Data Analysis on the Java Platform
Brand: Springer International Publishing AG
SKU: 9783319285290
Price: 472.15 PLN
Availability: InStock

Autor: Sergei V. Chekanov

Język:

Oprawa: Twarda

Wydawca: Springer International Publishing AG

Dostępność: Dostępna u dostawcy w małych ilościach

Wysyłamy za 11-15 dni

472.15 zł

Numerical§computation, knowledge discovery and statistical data analysis integrated with§powerful 2D...

Informacje o książce

Autor

Sergei V. Chekanov

Język

Angielski

Oprawa

Książka - Twarda

Data wydania

2016

strony

620

EAN

9783319285290

ISBN

3319285297

Enbook ID

02862519

Wydawca

Springer International Publishing AG

Waga

1114

Wymiary

245 x 169 x 41

Pełny opis

Numerical§computation, knowledge discovery and statistical data analysis integrated with§powerful 2D and 3D graphics for visualization are the key topics of this book. The§Python code examples powered by the Java platform can easily be transformed to§other programming languages, such as Java, Groovy, Ruby and BeanShell. This§book equips the reader with a§computational platform which, unlike other statistical programs, is not limited§by a single programming language.§The author§focuses 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-linear§regression analysis and many other data-mining topics. He discusses how to find§regularities in real-world data, how to classify data, and how to process data§for knowledge discoveries. The code snippets are so short that they easily fit into§single pages.§§Numeric Computation and Statistical Data§Analysis on the Java Platform is a great choice for those who want to learn how statistical§data analysis can be done using popular programming languages, who want to§integrate data analysis algorithms in full-scale applications, and deploy such§calculations on the web pages or computational servers regardless§of their operating system. It is an excellent reference for scientific computations to solve§real-world problems using a comprehensive stack of open-source Java§libraries included in the DataMelt (DMelt) project and will be§appreciated by many data-analysis scientists, engineers and students . §

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