Numeric Computation And Statistical Data Analysis On The Java Platform by Sergei V. ChekanovNumeric Computation And Statistical Data Analysis On The Java Platform by Sergei V. Chekanov

Numeric Computation And Statistical Data Analysis On The Java Platform

bySergei V. Chekanov

Hardcover | April 5, 2016

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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.

S. Chekanov was born in Minsk (Belarus) and received his Ph.D. in experimental physics at Radboud University Nijmegen, The Netherlands. He has more than twenty five years of experience in high-energy particle physics including advanced programming and analysis of large data volumes collected by high-energy experiments operated by m...
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Title:Numeric Computation And Statistical Data Analysis On The Java PlatformFormat:HardcoverDimensions:620 pages, 23.5 × 15.5 × 0.25 inPublished:April 5, 2016Publisher:Springer-Verlag/Sci-Tech/TradeLanguage:English

The following ISBNs are associated with this title:

ISBN - 10:3319285297

ISBN - 13:9783319285290

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Table of Contents

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.