Artificial intelligence (AI) and digital engineering have become
prevalent in business, industry, government, and academia. However,
the workforce still has a lot to learn on how to leverage them.
This handbook presents the preparatory and operational foundations
for the efficacy, applicability, risk, and how to take advantage of
these tools and techniques. "Handbook of Mathematical and Digital
Engineering Foundations for Artificial Intelligence: A Systems
Methodology" provides a guide for using digital engineering
platforms for advancing AI applications. The book discusses an
interface of education and research in the pursuit of AI
developments and highlights the facilitation of advanced education
through AI and digital engineering systems. It presents an
integration of soft and hard skills in developing and using AI and
offers a rigorous systems approach to understanding and using AI.
This handbook will be the go-to resource for practitioners and
students on applying systems methodology to the body of knowledge
of understanding, embracing, and using digital engineering tools
and techniques.
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