Designing Data-Intensive Application 2nd ed By Martin Kleppman Expedite

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The product is a textbook titled "Designing Data-Intensive Applications: The Big Ideas Behind Reliable, Scalable, and Maintainable Systems" by author Martin Kleppmann. Published by O'Reilly Media, Incorporated, this textbook is designed for adult and further education levels and focuses on data modeling and design. It is written in English and is a comprehensive resource for understanding how to create data-intensive applications that are scalable, reliable, and maintainable.

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NYSORA Nerve Block Manual: First Edition by Prof. Dr. Admir Hadzic 2023 NEW

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NYSORA Nerve Block Manual (First Edition) Published by New York School of Regional Anesthesia (NYSORA) NYSORA Nerve Block Manual, First Edition is a specialized clinical reference developed by the New York School of Regional Anesthesia (NYSORA), a global leader in anesthesia education.

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Choice Theory in the Classroom Paperback

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The Choice Theory in the Classroom Paperback is a textbook written by William Glasser. This book is designed for use in educational settings and provides insights into how students make choices and how those choices impact their behavior in the classroom. The paperback format makes it easy to read and reference, making it a valuable resource for educators looking to enhance their teaching strategies.

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Reinforcement Learning, second Edition by Sutton Richard S. New (Hardcover)

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The product is the second edition of "Reinforcement Learning: An Introduction" by Richard S. Sutton and Andrew G. Barto, published by MIT Press in 2018. This textbook covers the subject areas of programming, algorithms, neural networks, and artificial intelligence, with a focus on reinforcement learning. The book is part of the Adaptive Computation and Machine Learning series and is written in English. It is a comprehensive resource for those interested in learning about reinforcement learning techniques and their applications in various fields.

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Adaptive Computation and Machine Learning Ser.: Reinforcement Learning,…

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Like the first edition, this second edition focuses on core online learning algorithms, with the more mathematical material set off in shaded boxes. Many algorithms presented in this part are new to the second edition, including UCB, Expected Sarsa, and Double Learning.

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