Beginning Mathematica and Wolfram for Data Science: Applications in Data Analysis Machine Learning and Neural Networks /Jalil Villalobos Alva

By:

Villalobos, Alva Jalil

Language: Eng Publication details: Apress, c2021. New York :Description: xxiii, 416p. : ill; 25 cmISBN:

9781484284322

Subject(s):

DDC classification:

006.312 VIL

Summary: 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, and includes code performance and debugging techniques for code optimization.

Item type:

Reference

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Holdings
Current library	Call number	Status	Date due	Barcode
Anna Centenary Library 3RD FLOOR, A WING	006.31 VIL (Browse shelf(Opens below))	Not for loan		679141

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Includes index

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, and includes code performance and debugging techniques for code optimization.

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Beginning Mathematica and Wolfram for Data Science: Applications in Data Analysis Machine Learning and Neural Networks /Jalil Villalobos Alva

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