 Название: Mathematics for Digital Science 3: Data Analysis and Optimization
Автор: Gérard-Michel Cochard, Mhand Hifi
Издательство: Wiley-ISTE
Год: 2025
Страниц: 322
Язык: английский
Формат: pdf
Размер: 19.9 MB
Over the past century, advancements in computer science have consistently resulted from extensive mathematical work. Even today, innovations in the digital domain continue to be grounded in a strong mathematical foundation. To succeed in this profession, both today's students and tomorrow’s computer engineers need a solid mathematical background.
The goal of this book series is to offer a solid foundation of the knowledge essential to working in the digital sector. Across three volumes, it explores fundamental principles, digital information, data analysis, and optimization. Whether the reader is pursuing initial training or looking to deepen their expertise, the Mathematics for Digital Science series revisits familiar concepts, helping them refresh and expand their knowledge while also introducing equally essential, newer topics.
Numerous software packages are available for data analysis. This section highlights two widely used free programs in the academic world:
1) Tanagra software: Tanagra is a software package developed by Ricco Rakotomalala at Lyon 2 University. It offers a user-friendly graphical interface for manipulating objects and filling in data tables. It can be used alongside the Excel spreadsheet program to facilitate statistical analysis and data exploration.
2) R software (or R language): R is a programming language specifically designed for statistical analysis and data visualization. It provides a broad range of packages and functions for flexible data manipulation and analysis. R is highly popular in the field of statistics and research, offering many advanced features for data analysis.
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Mathematics for Digital Science 3: Data Analysis and Optimization 
