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Computational Statistical Methodologies and Modeling for Artificial Intelligence

By: (Edited by) Azizur Rahman , (Edited by) Basant Agarwal , (Edited by) Priyanka Harjule , (Edited by) Vinita Tiwari

Manufacture on Demand

Ksh 27,000.00

Format: Hardback or Cased Book

ISBN-10: 1032170808

ISBN-13: 9781032170800

Series: Edge AI in Future Computing

Publisher: Taylor & Francis Ltd

Imprint: CRC Press

Country of Manufacture: GB

Country of Publication: GB

Publication Date: Mar 31st, 2023

Print length: 360 Pages

Weight: 688 grams

Dimensions (height x width x thickness): 24.00 x 16.40 x 2.60 cms

Product Classification: Mathematical foundations
Applied mathematics
Mathematical modelling
Technology, engineering, agriculture
Electrical engineering

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  • Description

  • Reviews

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.

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

Get Computational Statistical Methodologies and Modeling for Artificial Intelligence by at the best price and quality guranteed only at Werezi Africa largest book ecommerce store. The book was published by Taylor & Francis Ltd and it has pages. Enjoy Shopping Best Offers & Deals on books Online from Werezi - Receive at your doorstep - Fast Delivery - Secure mode of Payment

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