Numeric Computation and Statistical Data Analysis on the by Sergei V. Chekanov

By Sergei V. Chekanov

computation, wisdom discovery and statistical info research built-in with
powerful 2nd and 3D photographs for visualisation are the major subject matters of this booklet. The
Python code examples powered via the Java platform can simply be reworked to
other programming languages, similar to Java, Groovy, Ruby and BeanShell. This
book equips the reader with a
computational platform which, in contrast to different statistical courses, isn't limited
by a unmarried programming language.

The author
focuses on functional programming points and covers a huge diversity of topics,
from easy advent to the Python language at the Java platform (Jython),
to descriptive records, symbolic calculations, neural networks, non-linear
regression research and plenty of different data-mining themes. He discusses easy methods to find
regularities in real-world information, tips on how to classify facts, and the way to method data
for wisdom discoveries. The code snippets are so brief that they simply healthy into
single pages.

Numeric Computation and Statistical Data
Analysis at the Java Platform
is a brilliant selection in case you are looking to find out how statistical
data research should be performed utilizing well known programming languages, who wish to
integrate facts research algorithms in full-scale functions, and install such
calculations on the net pages or computational servers regardless
of their working system. it truly is a superb reference for medical computations to solve
real-world difficulties utilizing a comprehensive stack of open-source Java
libraries integrated within the DataMelt (DMelt) undertaking and
will be
appreciated by way of many data-analysis scientists, engineers and students.

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