Book Image

Mathematica Data Analysis

By : Sergiy Suchok
Book Image

Mathematica Data Analysis

By: Sergiy Suchok

Overview of this book

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.
Table of Contents (15 chapters)
Mathematica Data Analysis
About the Author
About the Reviewer

Chapter 4. Analyzing Data with the Help of Mathematica

Now we've come to one of the most interesting parts of this multifaceted Mathematica system. A bunch of already implemented and working algorithms are waiting for you to be used to build fast and compact solutions for set tasks.

In this chapter, you will learn the following:

  • Clustering information and classifying data

  • Recognizing an object in a picture and reckoning it in a particular category

  • Identifying people's faces in a photo

  • Recognizing text information and determining the language of the text

  • Reading the different types of barcodes