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. The book will introduce you to the language and its syntax, as well as the structure of Mathematica and its advantages and disadvantages. --

Bibliographic Details
Main Author:	Alva, Jalil Villalobos (Author)
Corporate Author:	Knovel (Firm)
Format:	eBook
Language:	English
Published:	[Place of publication not identified] : Apress, 2021.
Subjects:	Information technology. Databases. Electronic data processing. Technologie de l'information. information technology. Electronic data processing Databases Information technology Electronic books.
Online Access:	Connect to the full text of this electronic book

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.