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Mathematica Data Analysis

You're reading from   Mathematica Data Analysis Learn and explore the fundamentals of data analysis with power of Mathematica

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Product type Paperback
Published in Dec 2015
Publisher
ISBN-13 9781785884931
Length 164 pages
Edition 1st Edition
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Author (1):
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Sergiy Suchok Sergiy Suchok
Author Profile Icon Sergiy Suchok
Sergiy Suchok
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Toc

Table of Contents (10) Chapters Close

Preface 1. First Steps in Data Analysis FREE CHAPTER 2. Broad Capabilities for Data Import 3. Creating an Interface for an External Program 4. Analyzing Data with the Help of Mathematica 5. Discovering the Advanced Capabilities of Time Series 6. Statistical Hypothesis Testing in Two Clicks 7. Predicting the Dataset Behavior 8. Rock-Paper-Scissors – Intelligent Processing of Datasets Index

Preface

There are many algorithms for data analysis, and it's not always possible to quickly choose the best one for each case. The implementation of algorithms takes a lot of time. With the help of Mathematica, you can quickly get a result using a particular method because this system contains almost all known-algorithms for data analysis. If you are not a programmer but you need to analyze data, this book will show the capabilities of Mathematica that use just a few strings of intelligible code to solve huge tasks ranging from statistical issues to pattern recognition. If you're a programmer, with the help of this book, 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 immerse yourself more into the special world of Mathematica. Along with intuitive queries for data processing, the nuances and features of this system will be highlighted allowing you to build effective analysis systems.

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