The Data Warehouse Toolkit: The Definitive Guide to Dimensional Modeling by Kimball, Ralph; Ross, Margy Readable copy. Pages may have considerable notes/highlighting. ~ ThriftBooks: Read More, Spend Less
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The first edition of Make: Electronics established a new benchmark for introductory texts. The second edition enhanced that experience, and now this third edition includes all-new diagrams throughout, new photographs, and completely rewritten text.Learning by Discovery is a system developed by Charles Platt to enable an experience that is fascinating, fun, and memorable. You learn by building your own circuits--and by making your own mistakes.In fact, mistakes are an important part of the exp...
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Mike Holt's Electrical Exam Preparation textbook has helped thousands of people across the country pass their electrical exams. It is used in Electrical Exam Prep classrooms across the US as well as used by individuals studying on their own for an upcoming exam.
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Pocket Reference by Glover, Thomas J. Readable copy. Pages may have considerable notes/highlighting. ~ ThriftBooks: Read More, Spend Less
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Notes: Item in good condition.
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Condition Notes: Book is considered to be in acceptable condition.
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New Hard cover
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Great shape! Has a publisher remainder mark. hardcover Used - Very Good 2015
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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 good condition.
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Physics Technology Update Volume 1 (4th Edition) by James S. Walker Pages can have notes/highlighting. Spine may show signs of wear. ~ ThriftBooks: Read More, Spend Less
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This DVD contains 31 interesting books about RadioShack. This outstanding books collection serves as an excellent resource for anyone interested in RadioShack! Books on DVD ROM. Engineer's Notebook II A Handbook Of Integrated Circuit Applications (1982) - Mims, F. M. - 128 pages.
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"Reinforcement Learning, second edition: An Introduction Hardcover" is a comprehensive textbook written by Richard S. Sutton and Andrew G. Barto, published by MIT Press in 2018. This second edition book delves into the subject area of reinforcement learning, focusing on computer programming, algorithms, neural networks, and artificial intelligence. With detailed explanations and insights, it serves as a valuable resource for students and professionals alike who want to deepen their understanding of this advanced field. The hardcover format makes it a sturdy and durable reference book for those studying or working in the realm of reinforcement learning.
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Dust Jacket : False. About Suffolk Books. Condition : Very Good.
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