Numeric Computation and Statistical Data Analysis on the Java Platform

Nonfiction, Computers, Database Management, Programming, Programming Languages, General Computing
Cover of the book Numeric Computation and Statistical Data Analysis on the Java Platform by Sergei V. Chekanov, Springer International Publishing
View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart
Author: Sergei V. Chekanov ISBN: 9783319285313
Publisher: Springer International Publishing Publication: March 23, 2016
Imprint: Springer Language: English
Author: Sergei V. Chekanov
ISBN: 9783319285313
Publisher: Springer International Publishing
Publication: March 23, 2016
Imprint: Springer
Language: English

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*.*

View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart

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*.*

More books from Springer International Publishing

Cover of the book Applications of Systems Thinking and Soft Operations Research in Managing Complexity by Sergei V. Chekanov
Cover of the book Killing Time by Sergei V. Chekanov
Cover of the book The SAGES Manual Transitioning to Practice by Sergei V. Chekanov
Cover of the book Opportunistic Spectrum Sharing in Cognitive Radio Networks by Sergei V. Chekanov
Cover of the book One Planet Is Enough by Sergei V. Chekanov
Cover of the book Metaphorical Signs in Computed Tomography of Chest and Abdomen by Sergei V. Chekanov
Cover of the book Cancer and Fertility by Sergei V. Chekanov
Cover of the book Lou Sullivan Diaries (1970-1980) and Theories of Sexual Embodiment by Sergei V. Chekanov
Cover of the book Leadership of Assessment, Inclusion, and Learning by Sergei V. Chekanov
Cover of the book The Physics of Nuclear Reactors by Sergei V. Chekanov
Cover of the book Integrating Pain Treatment into Your Spine Practice by Sergei V. Chekanov
Cover of the book Comparative Criminology in Asia by Sergei V. Chekanov
Cover of the book Health Inequities Related to Intimate Partner Violence Against Women by Sergei V. Chekanov
Cover of the book The Castor Bean Genome by Sergei V. Chekanov
Cover of the book Charles De Gaulle and the Media by Sergei V. Chekanov
We use our own "cookies" and third party cookies to improve services and to see statistical information. By using this website, you agree to our Privacy Policy