"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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"Deep Learning with Azure" is a textbook authored by Danielle Dean, Wee Hyong Tok, and Mathew Salvaris, focusing on building and deploying artificial intelligence solutions on Azure using the Microsoft AI platform. Published by Apress L. P. in 2018, this trade paperback book covers subjects related to cloud computing, artificial intelligence, and programming with Microsoft technologies. With a total of 284 pages, the book is designed for individuals and organizations looking to enhance their understanding and implementation of deep learning techniques on Azure.
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The DAMA-DMBOK: Data Management Body of Knowledge 2nd Edition is a comprehensive textbook authored by Dama Dama International. Covering subjects in Computers, Business & Economics, this publication offers in-depth information on data management, data processing, and databases in a general sense. With 626 pages, this trade paperback book is ideal for adult and further education students looking to learn about the intricacies of data management in various industries. Published in 2017 by Technics Publications, LLC, this textbook is a valuable resource for those interested in delving deeper into the world of data management.
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The product is a second edition hardcover book titled "Principles of Database Systems" by Jeffrey D. Ullman, published in 1982 by Computer Science Press. The book is written in English and covers the topic of databases, with 484 pages of content.
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Notes: Item in very good condition!
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Notes: Item in good condition.
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Inside pages are clean and in good condition, but a handful of pages are creased corners. See all photos for further details.
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Perfect for students and educators, it integrates practical application with engaging content, making the learning process both effective and enjoyable.
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Get Coding! Notes: Item in very good condition!
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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 very good condition!
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Notes: Item in good condition.
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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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Use the data engineering lifecycle to design and build a robust architecture. Incorporate data governance and security across the data engineering lifecycle. Data engineering has grown rapidly in the past decade, leaving many software engineers, data scientists, and analysts looking for a comprehensive view of this practice.
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Brand new and latest edition. Buy with confidence.
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