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Designing Autonomous Ai : A Guide for Machine Teaching, Paperback by Anderson...

Description: Designing Autonomous Ai : A Guide for Machine Teaching, Paperback by Anderson, Kence, ISBN 1098110757, ISBN-13 9781098110758, Brand New, Free shipping in the US Early rules-based artificial intelligence demonstrated intriguing decision-making capabilities but lacked perception and didn't learn. AI today, primed with machine learning perception and deep reinforcement learning capabilities, can perform superhuman decision-making for specific tasks. This book shows you how to combine the practicality of early AI with deep learning capabilities and industrial control technologies to make robust decisions in the real world. 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

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End Time: 2023-11-03T11:05:23.000Z

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Designing Autonomous Ai : A Guide for Machine Teaching, Paperback by Anderson...

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Book Title: Designing Autonomous Ai : A Guide for Machine Teaching

Item Length: 9.4in

Item Height: 0.5in

Item Width: 7in

Author: Kence Anderson

Publication Name: Designing Autonomous AI : a Guide for Machine Teaching

Format: Trade Paperback

Language: English

Publisher: O'reilly, Incorporated

Publication Year: 2022

Type: Textbook

Item Weight: 15.2 Oz

Number of Pages: 245 Pages

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