AI-Infused Mathematical Modelling (eBook)

Computational Intelligence and Predictive Analysis
Artikelnummer: 978-3-11-221247-9
Einband: Adobe Digital Editions
Verfügbarkeit: Download, sofort verfügbar (Link per E-Mail)
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This book entitled "AI-infused Mathematical Modelling: Computational Intelligence and Predictive Analysis" is driven by the need to explore how artificial intelligence (AI) enhances mathematical modeling. It aims to showcase AI's transformative impact on creating, analyzing, and optimizing mathematical models. "AI-infused Mathematical Modelling: Computational Intelligence and Predictive Analysis" explores the integration of artificial intelligence with mathematical modeling to solve contemporary problems. It covers AI-enhanced predictive models, optimization techniques, and practical applications across various fields, highlighting the transformative impact of AI on traditional mathematical approaches. Focuses on healthcare, finance, education, cybersecurity, and more. Addresses AI's role in model interpretability and bias reduction. This book is essential for undergraduates, postgraduates, researchers, and professionals seeking to integrate AI into mathematical practices. It offers foundational understanding for beginners, advanced techniques for experts, and insights into cutting-edge research, fostering interdisciplinary collaboration in solving complex real-world challenges.

This book entitled "AI-infused Mathematical Modelling: Computational Intelligence and Predictive Analysis" is driven by the need to explore how artificial intelligence (AI) enhances mathematical modeling. It aims to showcase AI's transformative impact on creating, analyzing, and optimizing mathematical models. "AI-infused Mathematical Modelling: Computational Intelligence and Predictive Analysis" explores the integration of artificial intelligence with mathematical modeling to solve contemporary problems. It covers AI-enhanced predictive models, optimization techniques, and practical applications across various fields, highlighting the transformative impact of AI on traditional mathematical approaches. Focuses on healthcare, finance, education, cybersecurity, and more. Addresses AI's role in model interpretability and bias reduction. This book is essential for undergraduates, postgraduates, researchers, and professionals seeking to integrate AI into mathematical practices. It offers foundational understanding for beginners, advanced techniques for experts, and insights into cutting-edge research, fostering interdisciplinary collaboration in solving complex real-world challenges.

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VerlagDe Gruyter
EinbandAdobe Digital Editions
Erscheinungsjahr2026
Seitenangabe211 S.
AusgabekennzeichenEnglisch
Abbildungen36 ill., 28 tbl.
Masse4'396 KB
Auflage26001 A. 1. Auflage
PlattformEPUB
ReiheDe Gruyter Series on the Applications of Mathematics in Engineering and Information Sciences
AutorGoyal, Nupur (Hrsg.) / Gupta, Akansha (Hrsg.) / Ram, Mangey (Hrsg.)

Alle Bände der Reihe "De Gruyter Series on the Applications of Mathematics in Engineering and Information Sciences"

Über den Autor Nupur (Hrsg.) Goyal

279472909

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