BOOKS - Handbook of Mathematical and Digital Engineering Foundations for Artificial I...
Handbook of Mathematical and Digital Engineering Foundations for Artificial Intelligence: A Systems Methodology - Adedeji B Badiru Expected publication June 29, 2023 PDF  BOOKS
ECO~32 kg CO²

3 TON

Views
18544

Telegram
 
Handbook of Mathematical and Digital Engineering Foundations for Artificial Intelligence: A Systems Methodology
Author: Adedeji B Badiru
Year: Expected publication June 29, 2023
Format: PDF
File size: PDF 15 MB



Pay with Telegram STARS
Book Description: Handbook of Mathematical and Digital Engineering Foundations for Artificial Intelligence A Systems Methodology Author: Adedeji B Badiru Expected publication June 29, 2023 Pages: Summary: Artificial intelligence (AI) and digital engineering have become ubiquitous in business, industry, government, and academia. However, the workforce still has a lot to learn about how to leverage these technologies effectively. This handbook provides the foundational and operational principles for the efficacy, applicability, and risk management of AI and digital engineering tools and techniques. It offers a comprehensive guide for using digital engineering platforms to advance AI applications and highlights the importance of advanced education through AI and digital engineering systems. The book presents an integration of soft and hard skills in developing and utilizing AI, providing a rigorous systems approach to understanding and utilizing AI. Introduction: In today's rapidly evolving technological landscape, it is essential to understand the process of technology evolution and its impact on human society. The development of artificial intelligence (AI) and digital engineering has revolutionized the way we live, work, and interact with each other. However, the pace of technological advancement can be overwhelming, leaving many professionals struggling to keep up with the latest trends and innovations.
Handbook of Mathematical and Digital Engineering Foundations for Artificial Intelligence A Systems Methodology Автор: Adedeji B Badiru Ожидаемая публикация 29 июня 2023 г. Страницы: Резюме: Искусственный интеллект (ИИ) и цифровая инженерия стали повсеместными в бизнесе, промышленности, правительстве и научных кругах. Однако сотрудникам предстоит еще многое узнать о том, как эффективно использовать эти технологии. Это руководство содержит основополагающие и операционные принципы эффективности, применимости и управления рисками ИИ и цифровых инженерных инструментов и методов. Он предлагает комплексное руководство по использованию платформ цифровой инженерии для продвижения приложений ИИ и подчеркивает важность продвинутого образования с помощью ИИ и систем цифровой инженерии. Книга представляет интеграцию мягких и жестких навыков в разработке и использовании ИИ, обеспечивая строгий системный подход к пониманию и использованию ИИ. Введение. В современном быстро развивающемся технологическом ландшафте важно понимать процесс эволюции технологий и его влияние на человеческое общество. Развитие искусственного интеллекта (ИИ) и цифровой инженерии произвело революцию в том, как мы живем, работаем и взаимодействуем друг с другом. Однако темпы технологического прогресса могут быть ошеломляющими, в результате чего многие профессионалы изо всех сил пытаются идти в ногу с последними тенденциями и инновациями.
Handbook of Mathematical and Digital Engineering Foundations for Artificial Intelligence A Systems Methodology Autor: Adedeji B Badiru Publicación prevista 29 de junio de 2023 Páginas: Resumen: La inteligencia artificial (IA) y la ingeniería digital se han generalizado en los negocios, la industria, el gobierno y la academia. n embargo, el personal aún tiene mucho que aprender sobre cómo utilizar estas tecnologías de manera eficiente. Esta guía contiene los principios fundamentales y operativos de eficiencia, aplicabilidad y gestión de riesgos de IA y herramientas y métodos de ingeniería digital. Ofrece una guía integral sobre el uso de plataformas de ingeniería digital para promover aplicaciones de IA y destaca la importancia de la educación avanzada con IA y sistemas de ingeniería digital. libro presenta la integración de habilidades blandas y rígidas en el diseño y uso de IA, proporcionando un enfoque riguroso y sistemático para entender y usar IA. Introducción. En el panorama tecnológico en rápida evolución actual, es importante comprender el proceso de evolución de la tecnología y su impacto en la sociedad humana. desarrollo de la inteligencia artificial (IA) y la ingeniería digital ha revolucionado la forma en que vivimos, trabajamos e interactuamos entre nosotros. n embargo, el ritmo del progreso tecnológico puede ser abrumador, con lo que muchos profesionales luchan por mantenerse al día con las últimas tendencias e innovaciones.
''

You may also be interested in:

Handbook of Mathematical and Digital Engineering Foundations for Artificial Intelligence: A Systems Methodology
The Electrical Engineering Handbook Computers, Software Engineering, and Digital Devices, Third Edition
Handbook of Mathematical Concepts and Formulas for Students in Science and Engineering
Handbook of Mathematical Concepts and Formulas for Students in Science and Engineering
Compressible Flow Propulsion and Digital Approaches in Fluid Mechanics 4 (Mechanical Engineering Ans Solid Mechanics Mathematical and Mechanical Engineering Set)
Digital Communication Techniques Engineering Handbook
The Computer Engineering Handbook Digital Systems and Applications, Second Edition
The Computer Engineering Handbook Digital Design and Fabrication, Second Edition
Mathematical Techniques An Introduction for the Engineering, Physical, and Mathematical Sciences 4th Edition
Mathematical Techniques An Introduction for the Engineering, Physical, and Mathematical Sciences 4th Edition
Mathematical Modeling and Computation of Real-Time Problems An Interdisciplinary Approach (Mathematical Engineering, Manufacturing, and Management Sciences)
Recent Advances in Mathematics for Engineering (Mathematical Engineering, Manufacturing, and Management Sciences)
Mathematics in Engineering Sciences Novel Theories, Technologies, and Applications (Mathematical Engineering, Manufacturing, and Management Sciences)
The Electrical Engineering Handbook Sensors, Nanoscience, Biomedical Engineering, and Instruments, Third Edition
Digital-Twin-Enabled Smart Control Engineering: A Framework and Case Studies (Synthesis Lectures on Engineering, Science, and Technology)
Handbook of Mathematical Models and Algorithms in Computer Vision and Imaging: Mathematical Imaging and Vision
Mathematical Engineering of Deep Learning
Mathematical Engineering of Deep Learning
Mathematical Methods for Engineering and Science
Linear Systems (Mathematical Engineering)
Advanced Mathematical Techniques in Engineering Sciences
Mathematical Methods in Physics, Engineering, and Chemistry
Essentials of Mathematical Methods in Science and Engineering, Second Edition
Mathematical Methods using Python Applications in Physics and Engineering
Mathematical Methods using Python Applications in Physics and Engineering
Mathematical Methods using Python: Applications in Physics and Engineering
Handbook of Writing for the Mathematical Sciences
Prompt Engineering Handbook: A Complete Guide and Examples for Prompt Engineering Science from Scratch to Application
Engineering Optimization Engineering Handbook
Communication Engineering Engineering Handbook
Number Theory Meets Wireless Communications (Mathematical Engineering)
Strong Nonlinear Oscillators: Analytical Solutions (Mathematical Engineering)
Soft Computing Approach for Mathematical Modeling of Engineering Problems
Mathematical Methods in Engineering and Applied Sciences (Mathematics and its Applications)
Handbook of Mathematical Models for Languages and Computation
Digital Image Processing Mathematical and Computational Methods
Finite Element Methods in Civil and Mechanical Engineering A Mathematical Introduction
Mathematical Gnostics: Advanced Data Analysis for Research and Engineering Practice
Elements of Digital Geometry, Mathematical Morphology, and Discrete Optimization
Modeling and Applications in Operations Research (Mathematical Engineering, Manufacturing, and Management Sciences)