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Focusing on practical applications, this book provides a step-by-step guide to algorithms used in data analysis, specifically tailored for chemical engineering. It covers essential tasks related to one-dimensional, two-dimensional, and multi-dimensional data, ensuring that readers gain hands-on experience with real-world datasets encountered by data analysts in their daily work.
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Mathematical Gnostics, Pavel Kovanic
- Langue
- Année de publication
- 2023
- Reliure
- (rigide)
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- Sous-titre
- Advanced Data Analysis for Research and Engineering Practice
- Langue
- Anglais
- Auteurs
- Pavel Kovanic
- Éditeur
- Taylor & Francis Ltd (Sales)
- Publié
- 2023
- Format
- rigide
- Pages
- 322
- ISBN13
- 9781138339231
- Séries
- Mots clés
- Nonfiction, Commerce, Affaires & Gestion, Science et Mathématiques, La nature, Sciences naturelles, Mathématiques, Thématique écologique, Écologie, Chimie
- Description
- Focusing on practical applications, this book provides a step-by-step guide to algorithms used in data analysis, specifically tailored for chemical engineering. It covers essential tasks related to one-dimensional, two-dimensional, and multi-dimensional data, ensuring that readers gain hands-on experience with real-world datasets encountered by data analysts in their daily work.