Designing Machine Learning Systems By Chip Huyen (English, Paperback) New Book

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"Designing Machine Learning Systems" by Chip Huyen is a new textbook published in 2022 by O'Reilly. Written in English and available in trade paperback format, this book is perfect for those interested in the subject areas of machine theory, enterprise applications, and artificial intelligence. Huyen's expertise in the field of machine learning makes this book a valuable resource for students and professionals looking to enhance their understanding of these complex topics.

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AI Engineering Building Applications with Foundation Models PB

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The product is a textbook titled "AI Engineering Building Applications with Foundation Models PB" written by Chip Huyen. It is published by O'Reilly Media, Incorporated in 2024 and is a trade paperback format book in English. The textbook covers subjects like Enterprise Applications / Business Intelligence Tools, Machine Theory, Natural Language Processing, and Computer Engineering. It is targeted at adult education and further education levels in the United States. The book's dimensions are 9.1 inches in length, 7.1 inches in width, and 1.1 inches in height, with a weight of 32.3 ounces.

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AI Engineering : Building Applications with Foundation Models

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"AI Engineering: Building Applications with Foundation Models" by Chip Huyen is a comprehensive textbook focusing on computer engineering, machine theory, natural language processing, and enterprise applications. Published by O'Reilly Media, this trade paperback book offers 532 pages of valuable insights and practical guidance for building AI applications. With a publication year of 2025, this textbook is a vital resource for anyone interested in exploring the world of artificial intelligence and developing cutting-edge technology solutions.

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Designing Machine Learning Systems By Chip Huyen (English, Paperback) New Book

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"Designing Machine Learning Systems" by Chip Huyen is a new trade paperback textbook published in 2022 by O'Reilly. This book is focused on the subject area of computers, specifically addressing topics in machine theory, enterprise applications, and AI & semantics. Written in English, this textbook offers insights and practical guidance on designing machine learning systems for various applications. With the expertise of the author, Chip Huyen, this publication is a valuable resource for those interested in deepening their understanding of machine learning and its practical implications in business intelligence tools.

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