Computational statistical methodologies and modeling for artificial intelligence:
This book covers computational statistics-based approaches for Artificial Intelligence. The aim of this book is to provide comprehensive coverage of the fundamentals through the applications of the different kinds of mathematical modelling and statistical techniques and describing their applications...
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Other Authors: | , , , |
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Format: | Electronic eBook |
Language: | English |
Published: |
Boca Raton
CRC Press
2023
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Series: | Edge AI in future computing
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Subjects: | |
Links: | https://learning.oreilly.com/library/view/-/9781000831092/?ar |
Summary: | This book covers computational statistics-based approaches for Artificial Intelligence. The aim of this book is to provide comprehensive coverage of the fundamentals through the applications of the different kinds of mathematical modelling and statistical techniques and describing their applications in different Artificial Intelligence systems. The primary users of this book will include researchers, academicians, postgraduate students, and specialists in the areas of data science, mathematical modelling, and Artificial Intelligence. It will also serve as a valuable resource for many others in the fields of electrical, computer, and optical engineering. The key features of this book are: Presents development of several real-world problem applications and experimental research in the field of computational statistics and mathematical modelling for Artificial Intelligence Examines the evolution of fundamental research into industrialized research and the transformation of applied investigation into real-time applications Examines the applications involving analytical and statistical solutions, and provides foundational and advanced concepts for beginners and industry professionals Provides a dynamic perspective to the concept of computational statistics for analysis of data and applications in intelligent systems with an objective of ensuring sustainability issues for ease of different stakeholders in various fields Integrates recent methodologies and challenges by employing mathematical modeling and statistical techniques for Artificial Intelligence |
Item Description: | Print version record |
Physical Description: | 1 Online-Ressource illustrations. |
ISBN: | 9781003253051 1003253059 1000831094 9781000831078 1000831078 9781000831092 |
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series2 | Edge AI in future computing |
spelling | Computational statistical methodologies and modeling for artificial intelligence edited by Priyanka Harjule, Azizur Rahman, Basant Agarwal, Vinita Tiwari Boca Raton CRC Press 2023 1 Online-Ressource illustrations. Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Edge AI in future computing Print version record This book covers computational statistics-based approaches for Artificial Intelligence. The aim of this book is to provide comprehensive coverage of the fundamentals through the applications of the different kinds of mathematical modelling and statistical techniques and describing their applications in different Artificial Intelligence systems. The primary users of this book will include researchers, academicians, postgraduate students, and specialists in the areas of data science, mathematical modelling, and Artificial Intelligence. It will also serve as a valuable resource for many others in the fields of electrical, computer, and optical engineering. The key features of this book are: Presents development of several real-world problem applications and experimental research in the field of computational statistics and mathematical modelling for Artificial Intelligence Examines the evolution of fundamental research into industrialized research and the transformation of applied investigation into real-time applications Examines the applications involving analytical and statistical solutions, and provides foundational and advanced concepts for beginners and industry professionals Provides a dynamic perspective to the concept of computational statistics for analysis of data and applications in intelligent systems with an objective of ensuring sustainability issues for ease of different stakeholders in various fields Integrates recent methodologies and challenges by employing mathematical modeling and statistical techniques for Artificial Intelligence Artificial intelligence Statistical methods Intelligence artificielle ; Méthodes statistiques Artificial intelligence ; Statistical methods Harjule, Priyanka HerausgeberIn edt Rahman, Azizur HerausgeberIn edt Agarwal, Basant HerausgeberIn edt Tiwari, Vinita HerausgeberIn edt 9781032170800 Erscheint auch als Druck-Ausgabe 9781032170800 |
spellingShingle | Computational statistical methodologies and modeling for artificial intelligence Artificial intelligence Statistical methods Intelligence artificielle ; Méthodes statistiques Artificial intelligence ; Statistical methods |
title | Computational statistical methodologies and modeling for artificial intelligence |
title_auth | Computational statistical methodologies and modeling for artificial intelligence |
title_exact_search | Computational statistical methodologies and modeling for artificial intelligence |
title_full | Computational statistical methodologies and modeling for artificial intelligence edited by Priyanka Harjule, Azizur Rahman, Basant Agarwal, Vinita Tiwari |
title_fullStr | Computational statistical methodologies and modeling for artificial intelligence edited by Priyanka Harjule, Azizur Rahman, Basant Agarwal, Vinita Tiwari |
title_full_unstemmed | Computational statistical methodologies and modeling for artificial intelligence edited by Priyanka Harjule, Azizur Rahman, Basant Agarwal, Vinita Tiwari |
title_short | Computational statistical methodologies and modeling for artificial intelligence |
title_sort | computational statistical methodologies and modeling for artificial intelligence |
topic | Artificial intelligence Statistical methods Intelligence artificielle ; Méthodes statistiques Artificial intelligence ; Statistical methods |
topic_facet | Artificial intelligence Statistical methods Intelligence artificielle ; Méthodes statistiques Artificial intelligence ; Statistical methods |
work_keys_str_mv | AT harjulepriyanka computationalstatisticalmethodologiesandmodelingforartificialintelligence AT rahmanazizur computationalstatisticalmethodologiesandmodelingforartificialintelligence AT agarwalbasant computationalstatisticalmethodologiesandmodelingforartificialintelligence AT tiwarivinita computationalstatisticalmethodologiesandmodelingforartificialintelligence |