Numeric Computation and Statistical Data Analysis on the Java Platform (Record no. 56971)

000 -LEADER
fixed length control field 03894nam a22005055i 4500
001 - CONTROL NUMBER
control field 978-3-319-28531-3
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20200421112047.0
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 160323s2016 gw | s |||| 0|eng d
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
ISBN 9783319285313
-- 978-3-319-28531-3
082 04 - CLASSIFICATION NUMBER
Call Number 005.13
100 1# - AUTHOR NAME
Author Chekanov, Sergei V.
245 10 - TITLE STATEMENT
Title Numeric Computation and Statistical Data Analysis on the Java Platform
300 ## - PHYSICAL DESCRIPTION
Number of Pages XXVI, 620 p. 92 illus.
490 1# - SERIES STATEMENT
Series statement Advanced Information and Knowledge Processing,
505 0# - FORMATTED CONTENTS NOTE
Remark 2 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.
520 ## - SUMMARY, ETC.
Summary, etc 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.
856 40 - ELECTRONIC LOCATION AND ACCESS
Uniform Resource Identifier http://dx.doi.org/10.1007/978-3-319-28531-3
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Koha item type eBooks
264 #1 -
-- Cham :
-- Springer International Publishing :
-- Imprint: Springer,
-- 2016.
336 ## -
-- text
-- txt
-- rdacontent
337 ## -
-- computer
-- c
-- rdamedia
338 ## -
-- online resource
-- cr
-- rdacarrier
347 ## -
-- text file
-- PDF
-- rda
650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Computer science.
650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Programming languages (Electronic computers).
650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Data mining.
650 14 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Computer Science.
650 24 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Programming Languages, Compilers, Interpreters.
650 24 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Data Mining and Knowledge Discovery.
830 #0 - SERIES ADDED ENTRY--UNIFORM TITLE
-- 1610-3947
912 ## -
-- ZDB-2-SCS

No items available.