AI Engineering by Chip Huyen PAPERBACK 9781098166304
ISBN-13: 9781098166304. by Chip Huyen. Author: Chip Huyen. AI Engineering. Title: AI Engineering. Format: Paperback. Why buy from BookCurl?. RRP: £63.99.
ISBN-13: 9781098166304. by Chip Huyen. Author: Chip Huyen. AI Engineering. Title: AI Engineering. Format: Paperback. Why buy from BookCurl?. RRP: £63.99.
ISBN-13: 9781098107963. by Chip Huyen. Author: Chip Huyen. Designing Machine Learning Systems. Title: Designing Machine Learning Systems. Topic: Machine learning. Format: Paperback. Why buy from BookCurl?.
This is for the Word Annoyances O’Reilly by Guy Hart-Davis paperback book as shown in the photos. ISBN: 0596009542Thanks for looking..
You will find that this textbook has a clean layout that is easy on the eyes.
They are sold "AS IS". Previously owned has the slightest normal wear to cover and edges. It also has a school stamp on inside first page. Over all pages are nice and clean and book is in good shape.
The books were published by Educational Communications Inc. and authored by Paul C. Krouse. The books are written in English and are a great addition to any educational collection. Whether you are a student, teacher, or collector, this lot of books is a must-have.
The product is a hardcover textbook titled "Causality Models, Reasoning, and Inference" by Judea Pearl, published in 2000 by Cambridge University Press. This book delves into the subjects of philosophy and social aspects, as well as physics in general, exploring the concepts of causality, reasoning, and inference.
"Causality Models, Reasoning, and Inference" by Judea Pearl is a textbook published by Cambridge University Press in 2000. This hardcover book, with a total of 400 pages, delves into the subject areas of Science, Philosophy & Social Aspects, and Physics/General. Written in English, this book explores the concepts of causality, reasoning, and inference, making it a valuable resource for students and professionals interested in these fields. With its rigorous examination of these topics and the author's expertise in the subject matter, this book is a must-have for anyone looking to deepen their understanding of causality in various disciplines. Bin CC