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Mathematica Data Analysis

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by Sergiy Suchok
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Mathematica Data Analysis by Sergiy Suchok

About This Book

  • Use the power of Mathematica to analyze data in your applications
  • Discover the capabilities of data classification and pattern recognition offered by Mathematica
  • Use hundreds of algorithms for time series analysis to predict the future

Who This Book Is For

The book is for those who want to learn to use the power of Mathematica to analyze and process data. Perhaps you are already familiar with data analysis but have never used Mathematica, or you know Mathematica but you are new to data analysis.

What You Will Learn

  • Import data from different sources to Mathematica
  • Link external libraries with programs written in Mathematica
  • Classify data and partition them into clusters
  • Recognize faces, objects, text, and barcodes
  • Use Mathematica functions for time series analysis
  • Use algorithms for statistical data processing
  • Predict results based on observations

In Detail

There are many algorithms for data analysis and it's not always possible to quickly choose the best one for each case. Implementation of algorithms takes a lot of time. With the help of Mathematica, you can quickly get a result from the use of a particular method, because this system contains almost all the known algorithms for data analysis.

If you are not a programmer but you need to analyze data, this book will show you the capabilities of Mathematica, where just a few strings of intelligible code help to solve huge tasks, from statistical issues to pattern recognition. If you're a programmer, you will learn how to use the library of algorithms implemented in Mathematica in your programs, as well as how to write algorithm testing procedures.

With each chapter, you'll be more immersed in the special world of Mathematica. Along with intuitive queries for data processing, we will highlight the nuances and features of this system, allowing you to build effective analysis systems.

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Ebook Details
Pages: 164
Size: 4.1 MB
Publisher: Packt Publishing
Date published:   2015
ISBN: 2370007241484 (DRM-EPUB)

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This product is listed in the following categories:

Nonfiction > Computers > Computer Science
Nonfiction > Computers > Data Processing
Nonfiction > Computers > Mathematical & Statistical Software

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