"Mathematics for Machine Learning" is a comprehensive textbook published by Cambridge University Press in 2020. Written by authors Cheng Soon Ong, A. Aldo Faisal, and Marc Peter Deisenroth, this 398-page trade paperback book is designed for students and professionals in the fields of computer science and machine learning. Covering a range of mathematical concepts and techniques relevant to machine learning, this textbook is an essential resource for those looking to deepen their understanding of the subject area. With clear explanations and practical examples, this textbook is a valuable addition to any student or professional's library.
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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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Notes: Item in good condition.
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Notes: Item in good condition.
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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. Everyone, including those with minimal or no prior AI experience, can now leverage AI models to build applications.
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"The C Programming Language by Brian Kernighan and Dennis Ritchie" is a revised edition textbook published by Pearson Education in 1988. This trade paperback book, measuring 9.2 inches in length, 7 inches in width, and 0.6 inches in height, delves into the subject area of programming languages with a specific focus on the C programming language. Written in English by the authors Brian Kernighan and Dennis Ritchie, this book is a valuable resource for those studying or working in the field of computer programming, offering a comprehensive exploration of the C programming language.
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As per the item weight and country location. In case of any problems after receiving the item. While we work to ensure that product information is correct, on occasion manufacturers may alter their ingredient lists.
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System design interviews are the most difficult to tackle of all technical interview questions. This book is Volume 1 of the System Design Interview - An insider’s guide series that provides a reliable strategy and knowledge base for approaching a broad range of system design questions. This book provides a step-by-step framework for how to tackle a system design question. It includes many real-world examples to illustrate the systematic approach, with detailed steps that you can follow.
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Notes: Item in very good condition!
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Everything You Need to Ace Computer Science and Coding in One Big Fat Notebook: The Complete Middle School Study Guide (Big Fat Notebooks) by Workman Publishing Pages can have notes/highlighting. Spine may show signs of wear. ~ ThriftBooks: Read More, Spend Less
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Notes: Item in good condition.
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Notes: Item in good condition.
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9Immerse yourself in the essential aspects of machine learning with "Deep Learning Foundations and Concepts," authored by the renowned Christopher M. Bishop. This hardcover edition is a valuable resource for both students and practitioners, providing a comprehensive look at the field's fundamental theories and techniques. The book's detailed content is presented in English, ensuring a wide accessibility for readers versed in the subject. With the ISBN OKL, this publication stands as a significant contribution to the technical literature. It delves into the intricacies of deep learning, offering readers a profound understanding of the discipline. Whether you're aiming to expand your knowledge base or seeking a focused introduction, this book is designed to meet your educational needs.
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§ CD or Access code is not available unless stated for book. § Not for Sale in United States may be printed on the Front Cover of the book or at the Back of the book. DIFFERENT ISBN NUMBER AND COVER PAGE THAN US EDITION.
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Discover the foundational principles of computer systems with "Systems Programming" by John J. Donovan, a seminal work published by McGraw-Hill in 1972. It's an essential resource for students, educators, and professionals delving into the history and core concepts of computing.
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Notes: Item in good condition.
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