Notes: Item in very good condition!
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Practical Electronics for Inventors, Paperback by Scherz, Paul; Monk, Simon, ISBN 1259587541, ISBN-13 9781259587542, Brand New, Free shipping in the US A beginner's electronics guide teaches the electronic skills necessary to turn ideas into functioning devices, explaining everything from general theory to specific components, devices, and equipment with a pragmatic, application-driven approach.
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Notes: Item in good condition.
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Book
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Notes: Item in good condition.
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By Chip Huyen. In this book, author Chip Huyen discusses AI engineering: the process of building applications with readily available foundation models. Recent breakthroughs in AI have not only increased demand for AI products, they've also lowered the barriers to entry for those who want to build AI products.
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Recent breakthroughs in AI have not only increased demand for AI products, they've also lowered the barriers to entry for those who want to build AI products. Everyone, including those with minimal or no prior AI experience, can now leverage AI models to build applications.
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Combine comprehensive coverage of basic electrical theory with practical "how to" information to prepare students for real practice with DELMAR'S STANDARD TEXTBOOK OF ELECTRICITY, 7E by Stephen Herman.
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"The Technological Republic" is a thought-provoking book by Nicholas W. Zamiska and Alexander C. Karp that delves into the intersection of hard power and soft belief in the West. Published in 2025 by Crown Publishing Group, T.H.E., this hardcover book explores the future of technology and its impact on society, government, and business. With a blend of computer, technology, and social science perspectives, this 320-page book covers topics such as public policy, history, sociology, and political science to offer a comprehensive analysis of the evolving landscape of the West."
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"Mathematics for Machine Learning" is a comprehensive textbook published by Cambridge University Press in 2020. Written by authors Cheng Soon Ong, A. Aldo Faisal, and Marc Peter Deisenroth, this 398-page trade paperback book is designed for students and professionals in the fields of computer science and machine learning. Covering a range of mathematical concepts and techniques relevant to machine learning, this textbook is an essential resource for those looking to deepen their understanding of the subject area. With clear explanations and practical examples, this textbook is a valuable addition to any student or professional's library.
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ISBN: 0753468204. Author: Basher, Simon; Green, Dan; Basher, Simon [Illustrator]. Basher Science: Technology: A byte-sized world! Sku: 0753468204-3-24617726. Condition: Used: Good. Qty Available: 1.
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Notes: Item in good condition.
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Notes: Item in good condition.
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Notes: Item in very good condition!
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Notes: Item in good condition.
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