Numeric Computation and Statistical Data Analysis on the Java Platform
Language: English
Published by Springer, 2016
Series: Book 50 of 66 - Advanced Information and Knowledge Processing
- Hardcover
- New
Condition: New
£ 115.04
Quantity: 2 available
Add to basketItem description from seller
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 Gewicht in Gramm: 1076.…
Seller Inventory # IB-611397
- Title
- Numeric Computation and Statistical Data Analysis on the Java Platform
- Author
- Sergei V. Chekanov
- Publisher
- Springer
- Publication year
- 2016
- Condition
- Neu
- Binding
- Gebundene Ausgabe
- Language
- English
- ISBN 10
- 3319285297
- ISBN 13
- 9783319285290
- Item weight
- 1,076 grams
- Series
- Book 50 of 66: Advanced Information and Knowledge Processing
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.
"Synopsis" may belong to another edition of this title.
About the Author
Currently, this software is the world's leading open-source program for data analysis, statistics and scientific visualization, incorporating Java packages from more than 100 developers around the world and with thousands of users. Presently, he works at the Argonne National Laboratory (Chicago, USA).
"About the title" may belong to another edition of this title.
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