By Sergei V. Chekanov

Numerical
computation, wisdom discovery and statistical facts research built-in with
powerful 2nd and 3D snap shots for visualisation are the main themes of this ebook. The
Python code examples powered through the Java platform can simply be remodeled to
other programming languages, reminiscent of Java, Groovy, Ruby and BeanShell. This
book equips the reader with a
computational platform which, not like different statistical courses, isn't limited
by a unmarried programming language.

The author
focuses on sensible programming elements and covers a extensive diversity of topics,
from easy creation to the Python language at the Java platform (Jython),
to descriptive statistics, symbolic calculations, neural networks, non-linear
regression research and plenty of different data-mining subject matters. He discusses find out how to find
regularities in real-world info, find out how to classify facts, and the way to procedure 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 smart selection when you are looking to learn the way statistical
data research may be performed utilizing renowned programming languages, who wish to
integrate facts research algorithms in full-scale purposes, and installation such
calculations on the net pages or computational servers regardless
of their working system. it's 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) venture and
will be
appreciated by way of many data-analysis scientists, engineers and students.

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