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
Price: 49.24 USD
Location: Jessup, Maryland
End Time: 2023-11-03T11:05:23.000Z
Shipping Cost: 0 USD
Product Images
Item Specifics
Restocking Fee: No
Return shipping will be paid by: Buyer
All returns accepted: Returns Accepted
Item must be returned within: 14 Days
Refund will be given as: Money Back
Return policy details:
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