Designing Autonomous AI A Guide for Machine Teaching (True PDF)

Using concrete examples, minimal theory, and a proven architectural framework, author Kence Anderson demonstrates how to teach autonomous AI explicit skills and strategies. You'll learn when and how to use and combine various AI architecture design patterns, as well as how to design advanced AI without needing to manipulate neural networks or machine learning algorithms. Students, process operators, data scientists, machine learning algorithm experts, and engineers who own and manage industrial processes can use the methodology in this book to design autonomous AI.
This book examines:
Differences between and limitations of automated, autonomous, and human decision-makingUnique advantages of autonomous AI for real-time decision-making, with use casesHow to design an autonomous AI from modular components and document your designs