大葉大學圖書館 |

Numeric computation and statistical data analysis on the Java platform[electronic resource] /

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
杜威分類號:	001.4226
書名/作者:	Numeric computation and statistical data analysis on the Java platform/ by Sergei V. Chekanov.
作者:	Chekanov, Sergei V.
出版者:	Cham : : Springer International Publishing :, 2016.
面頁冊數:	xxvi, 620 p. : : ill., digital ;; 24 cm.
Contained By:	Springer eBooks
標題:	Information visualization.
標題:	Java (Computer program language)
標題:	Python (Computer program language)
標題:	Computer Science.
標題:	Programming Languages, Compilers, Interpreters.
ISBN:	9783319285313
ISBN:	9783319285290
內容註:	Java Computational Platform -- Introduction to Jython -- Mathematical Functions -- Data Arrays -- Linear Algebra and Equations -- Symbolic Computations -- Histograms -- Scientific Visualization -- File Input and Output -- Probability and Statistics -- Linear Regression and Curve Fitting -- Data Analysis and Data Mining -- Neural Networks -- Finding Regularities and Data Classification -- Miscellaneous Topics -- Using Other Languages on the Java Platform -- Octave-style Scripting Using Java -- Index -- Index of Code Examples.
摘要、提要註:	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.
電子資源:	http://dx.doi.org/10.1007/978-3-319-28531-3

Numeric computation and statistical data analysis on the Java platform[electronic resource] /
Chekanov, Sergei V.

Numeric computation and statistical data analysis on the Java platform[electronic resource] /by Sergei V. Chekanov. - Cham :Springer International Publishing :2016. - xxvi, 620 p. :ill., digital ;24 cm. - Advanced information and knowledge processing,1610-3947. - Advanced information and knowledge processing..

Java Computational Platform -- Introduction to Jython -- Mathematical Functions -- Data Arrays -- Linear Algebra and Equations -- Symbolic Computations -- Histograms -- Scientific Visualization -- File Input and Output -- Probability and Statistics -- Linear Regression and Curve Fitting -- Data Analysis and Data Mining -- Neural Networks -- Finding Regularities and Data Classification -- Miscellaneous Topics -- Using Other Languages on the Java Platform -- Octave-style Scripting Using Java -- Index -- Index of Code Examples.

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.

ISBN: 9783319285313

Standard No.: 10.1007/978-3-319-28531-3doiSubjects--Topical Terms:

412513
Information visualization.

LC Class. No.: QA76.9.I52

Dewey Class. No.: 001.4226

Numeric computation and statistical data analysis on the Java platform[electronic resource] /
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