Название: Computational Statistical Methodologies and Modeling for Artificial Intelligence
Автор: Priyanka Harjule, Azizur Rahman, Basant Agarwal
Издательство: CRC Press
Серия: Edge AI in Future Computing
Год: 2023
Страниц: 389
Язык: английский
Формат: pdf (true)
Размер: 23.1 MB
This book covers computational statistics-based approaches for Artificial Intelligence (AI). 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. Computational statistical science is a progressive field that employs advanced computing strategies to solve and understand real-life problems. In widespread usage, computational models are integrated with Artificial Intelligence (AI) algorithms, which is the soul of the digital computer or computer-controlled robot to perform intelligent tasks. AI is an interdisciplinary field and is frequently applied to developing systems endowed with humans’ intellectual processes, including the ability to reason, identify meaning, generalize, or learn from memories. AI has multiple approaches, and advancements in Machine Learning and Deep Learning are creating a metamorphosis in every industry sector.