Beginning Mathematica and Wolfram for data science : applications in data analysis, machine learning, and neural networks

Enhance your data science programming and analysis with the Wolfram programming language and Mathematica, an applied mathematical tools suite. The book will introduce you to the Wolfram programming language and its syntax, as well as the structure of Mathematica and its advantages and disadvantages....

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Bibliographic Details
Main Author Villalobos Alva, Jalil
Format Electronic eBook
LanguageEnglish
Published Berkeley, CA : Apress, 2021.
Subjects
Mathematica (Computer program language)
Wolfram language (Computer program language)
Mathematics > Data processing.
Artificial intelligence.
elektronické knihy
electronic books
Online AccessFull text
ISBN9781484265949
1484265947
1484265939
9781484265932
Physical Description1 online resource (430 pages)

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Table of Contents:
  • 1. Introduction to Mathematica
  • 2. Data Manipulation
  • 3. Working with Data and Datasets
  • 4. Import and Export
  • 5. Data Visualization
  • 6. Statistical Data Analysis
  • 7. Data Exploration
  • 8. Machine Learning with the Wolfram Language
  • 9. Neural Networks with the Wolfram Language
  • 10. Neural Network Framework.

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