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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

Summary


In this chapter, we considered how to find regularities and predict the behavior of numeric data with the help of Mathematica. We got to know which parameters of the Predict function can improve the quality of a prediction. We also became familiar with the possibilities of intelligent processing of graphical information using the Inpaint function and learned to imitate an author's style by expanding their work or restoring it. Using the methodology of probability automaton modeling, we were able to build a model of a complex system to build a prediction with the parameters of a system.

In the next chapter, we will apply most of our knowledge to build a self-learning system with an example of the Rock-Paper-Scissors game.

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