Mathematica Data Analysis

Nonfiction, Computers, Advanced Computing, Computer Science, Database Management, Data Processing, Application Software
Cover of the book Mathematica Data Analysis by Sergiy Suchok, Packt Publishing
View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart
Author: Sergiy Suchok ISBN: 9781785884450
Publisher: Packt Publishing Publication: September 10, 2016
Imprint: Packt Publishing Language: English
Author: Sergiy Suchok
ISBN: 9781785884450
Publisher: Packt Publishing
Publication: September 10, 2016
Imprint: Packt Publishing
Language: English

Learn and explore the fundamentals of data analysis with power of Mathematica

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. With the help of this book, you will be able to quickly catch up on the key points for a successful start.

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 the result based on the 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 the 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 when just few strings of intelligible code help to solve huge tasks 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 procedure.

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.

With the help of this book, you will learn how to optimize the computations by combining your libraries with the Mathematica kernel.

Style and approach

This book takes a step-by-step approach, accompanied by examples, so you get a better understanding of the logic of writing algorithms for data analysis in Mathematica. We provide a detailed explanation of all the nuances of the Mathematica language, no matter what your level of experience is.

View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart

Learn and explore the fundamentals of data analysis with power of Mathematica

About This Book

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. With the help of this book, you will be able to quickly catch up on the key points for a successful start.

What You Will Learn

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 the 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 when just few strings of intelligible code help to solve huge tasks 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 procedure.

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.

With the help of this book, you will learn how to optimize the computations by combining your libraries with the Mathematica kernel.

Style and approach

This book takes a step-by-step approach, accompanied by examples, so you get a better understanding of the logic of writing algorithms for data analysis in Mathematica. We provide a detailed explanation of all the nuances of the Mathematica language, no matter what your level of experience is.

More books from Packt Publishing

Cover of the book Learning Node.js Development by Sergiy Suchok
Cover of the book Mobile Prototyping with Axure 7 by Sergiy Suchok
Cover of the book Microsoft System Center Virtual Machine Manager 2012 Cookbook by Sergiy Suchok
Cover of the book Red Hat Enterprise Linux Server Cookbook by Sergiy Suchok
Cover of the book Apache Kafka Cookbook by Sergiy Suchok
Cover of the book Penetration Testing with Perl by Sergiy Suchok
Cover of the book Java EE 7 Handbook by Sergiy Suchok
Cover of the book Building Websites with Joomla! v1.0 by Sergiy Suchok
Cover of the book Linux: Embedded Development by Sergiy Suchok
Cover of the book Implementing Oracle API Platform Cloud Service by Sergiy Suchok
Cover of the book Building E-commerce Sites with Drupal Commerce Cookbook by Sergiy Suchok
Cover of the book Application Development with Qt Creator by Sergiy Suchok
Cover of the book jQuery Reference Guide by Sergiy Suchok
Cover of the book Getting Started with RethinkDB by Sergiy Suchok
Cover of the book Production Ready OpenStack - Recipes for Successful Environments by Sergiy Suchok
We use our own "cookies" and third party cookies to improve services and to see statistical information. By using this website, you agree to our Privacy Policy