Introducing a captivating paperback book titled "Softwar: A Novel Theory on Power Projection and the National Security State" by Jason Paul Lowery. This first edition book is independently published and is set to release in May 2023. The book explores the topics of Bitcoin, personal finance, and professional finance, making it a valuable addition to any finance enthusiast's collection.
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This is NM / EX in like NEW shape, never used but does not have a CD-ROM, unless I find it in my other CD-ROM lots. You never know what you may find.
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Publisher: Penguin Press. Format: Hardback or Cased Book. Your source for quality books at reduced prices.
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Architecture veterans and practicing consultants Neal Ford, Mark Richards, Pramod Sadalage, and Zhamak Dehghani discuss strategies for choosing an appropriate architecture. There are no easy decisions in software architecture.
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Notes: Item in good condition.
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§ Actual cover image is shown above.
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Audio Book File & PDF files. i will send pdf files for you. enjoy your new gift.
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PC NOVICE REFERENCE SERIES. WINTER 1999.
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I Will Teach You to Be Rich, Second Edition: No Guilt. No Excuses. N - VERY GOOD. Notes: Item in very good condition!
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See all the attached photos for the condition of this book. The pages and the inside of the covers are tanning due to age.
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Notes: Item in good condition.
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Notes: Item in very good condition!
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VTG The Ultimate Maze Book Challenging Computer Mazes No. #3 Softcover TPB 1980. Condition is Good. Shipped with USPS Media Mail.
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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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Brand new and latest edition. Buy with confidence.
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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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