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Herausgeber: 
  • Azizur Rahman
  • Basant Agarwal
  • Priyanka Harjule
  • Computational Statistical Methodologies and Modeling for Artificial Intelligence 
     

    (Buch)
    Dieser Artikel gilt, aufgrund seiner Grösse, beim Versand als 3 Artikel!


    Übersicht

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    Lieferstatus:   i.d.R. innert 7-14 Tagen versandfertig
    Veröffentlichung:  März 2023  
    Genre:  Schulbücher 
    ISBN:  9781032170800 
    EAN-Code: 
    9781032170800 
    Verlag:  CRC Press 
    Einband:  Gebunden  
    Sprache:  English  
    Dimensionen:  H 240 mm / B 161 mm / D 25 mm 
    Gewicht:  749 gr 
    Seiten:  390 
    Bewertung: Titel bewerten / Meinung schreiben
    Inhalt:
    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

      



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