Beginning Mathematica and Wolfram for Data Science : Applications in Data Analysis, Machine Learning, and Neural Networks

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. This second edition introduces the latest LLM Wolfram capabilities, delves into the exploration of data types in Mathematica, covers key programming concepts...

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Bibliographic Details
Main Author: Villalobos Alva, Jalil (-)
Format: eBook
Language:Inglés
Published: Berkeley, CA : Apress 2024.
Edition:2nd ed. 2024.
Subjects:
Mathematica (Computer program language)
Wolfram language (Computer program language)
Mathematics > Data processing.
Artificial intelligence.
See on Biblioteca Universitat Ramon Llull:https://discovery.url.edu/permalink/34CSUC_URL/1im36ta/alma991009837628806719
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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