Published by Cambridge University Press, 2023
ISBN 10: 1009123300 ISBN 13: 9781009123303
Language: English
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Published by Cambridge University Press, 2023
ISBN 10: 1009123300 ISBN 13: 9781009123303
Language: English
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Published by Cambridge University Press, 2023
ISBN 10: 1009123300 ISBN 13: 9781009123303
Language: English
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Published by Cambridge University Press, 2023
ISBN 10: 1009123300 ISBN 13: 9781009123303
Language: English
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Published by Cambridge University Press, 2023
ISBN 10: 1009123300 ISBN 13: 9781009123303
Language: English
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Published by Cambridge University Press, 2023
ISBN 10: 1009123300 ISBN 13: 9781009123303
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Published by Cambridge University Press, 2022
ISBN 10: 1009123300 ISBN 13: 9781009123303
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Published by Cambridge University Press, 2023
ISBN 10: 1009123300 ISBN 13: 9781009123303
Language: English
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Published by Cambridge University Press, 2022
ISBN 10: 1009123300 ISBN 13: 9781009123303
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Published by Cambridge University Press, 2023
ISBN 10: 1009123300 ISBN 13: 9781009123303
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Published by Cambridge University Press, 2023
ISBN 10: 1009123300 ISBN 13: 9781009123303
Language: English
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Published by Cambridge University Press, 2023
ISBN 10: 1009123300 ISBN 13: 9781009123303
Language: English
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Published by Cambridge University Press, 2023
ISBN 10: 1009123300 ISBN 13: 9781009123303
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Published by Cambridge University Press, 2023
ISBN 10: 1009123300 ISBN 13: 9781009123303
Language: English
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Published by Cambridge University Press, 2023
ISBN 10: 1009123300 ISBN 13: 9781009123303
Language: English
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Published by Cambridge University Press, Cambridge, 2022
ISBN 10: 1009123300 ISBN 13: 9781009123303
Language: English
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Hardcover. Condition: new. Hardcover. Packed with real-world examples, industry insights and practical activities, this textbook is designed to teach machine learning in a way that is easy to understand and apply. It assumes only a basic knowledge of technology, making it an ideal resource for students and professionals, including those who are new to computer science. All the necessary topics are covered, including supervised and unsupervised learning, neural networks, reinforcement learning, cloud-based services, and the ethical issues still posing problems within the industry. While Python is used as the primary language, many exercises will also have the solutions provided in R for greater versatility. A suite of online resources is available to support teaching across a range of different courses, including example syllabi, a solutions manual, and lecture slides. Datasets and code are also available online for students, giving them everything they need to practice the examples and problems in the book. Packed with real-world examples, industry insights and practical activities, this textbook is designed to teach machine learning in a way that is easy to understand and apply. It assumes only a basic knowledge of technology, making it an ideal resource for students and professionals, including those who are new to computer science. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
Published by Cambridge University Press, 2023
ISBN 10: 1009123300 ISBN 13: 9781009123303
Language: English
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Published by Cambridge University Press, 2023
ISBN 10: 1009123300 ISBN 13: 9781009123303
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Published by Cambridge University Press, 2023
ISBN 10: 1009123300 ISBN 13: 9781009123303
Language: English
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Published by Cambridge University Press 2022-12-29, 2022
ISBN 10: 1009123300 ISBN 13: 9781009123303
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Published by Cambridge University Press, 2023
ISBN 10: 1009123300 ISBN 13: 9781009123303
Language: English
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Published by Cambridge University Press, 2022
ISBN 10: 1009123300 ISBN 13: 9781009123303
Language: English
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Published by Cambridge University Pr. Dez 2022, 2022
ISBN 10: 1009123300 ISBN 13: 9781009123303
Language: English
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Add to basketBuch. Condition: Neu. Neuware -A self-contained and practical introduction that assumes no prior knowledge of programming or machine learning. 500 pp. Englisch.
Published by Cambridge University Pr. Dez 2022, 2022
ISBN 10: 1009123300 ISBN 13: 9781009123303
Language: English
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Add to basketBuch. Condition: Neu. Neuware -A self-contained and practical introduction that assumes no prior knowledge of programming or machine learning. 500 pp. Englisch.
Published by Cambridge University Pr. Dez 2022, 2022
ISBN 10: 1009123300 ISBN 13: 9781009123303
Language: English
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Add to basketBuch. Condition: Neu. Neuware -A self-contained and practical introduction that assumes no prior knowledge of programming or machine learning.
Published by Cambridge University Press, GB, 2022
ISBN 10: 1009123300 ISBN 13: 9781009123303
Language: English
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Add to basketHardback. Condition: New. Packed with real-world examples, industry insights and practical activities, this textbook is designed to teach machine learning in a way that is easy to understand and apply. It assumes only a basic knowledge of technology, making it an ideal resource for students and professionals, including those who are new to computer science. All the necessary topics are covered, including supervised and unsupervised learning, neural networks, reinforcement learning, cloud-based services, and the ethical issues still posing problems within the industry. While Python is used as the primary language, many exercises will also have the solutions provided in R for greater versatility. A suite of online resources is available to support teaching across a range of different courses, including example syllabi, a solutions manual, and lecture slides. Datasets and code are also available online for students, giving them everything they need to practice the examples and problems in the book.
Published by Cambridge University Press, 2022
ISBN 10: 1009123300 ISBN 13: 9781009123303
Language: English
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Add to basketHardcover. Condition: Brand New. 500 pages. 10.24x8.23x0.91 inches. In Stock.
Published by Cambridge University Press, 2023
ISBN 10: 1009123300 ISBN 13: 9781009123303
Language: English
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Published by CAMBRIDGE UNIVERSITY PRESS, 2022
ISBN 10: 1009123300 ISBN 13: 9781009123303
Language: English
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Add to basketHardcover. Condition: Brand New. Brand New! Fast Delivery US Edition and ship within 24-48 hours. Deliver by FedEx and Dhl, & Aramex, UPS, & USPS and we do accept APO and PO BOX Addresses. Order can be delivered worldwide within 7-10 days and we do have flat rate for up to 2LB. Extra shipping charges will be requested if the Book weight is more than 5 LB. This Item May be shipped from India, United states & United Kingdom. Depending on your location and availability.
Published by Cambridge University Press, Cambridge, 2022
ISBN 10: 1009123300 ISBN 13: 9781009123303
Language: English
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Add to basketHardcover. Condition: new. Hardcover. Packed with real-world examples, industry insights and practical activities, this textbook is designed to teach machine learning in a way that is easy to understand and apply. It assumes only a basic knowledge of technology, making it an ideal resource for students and professionals, including those who are new to computer science. All the necessary topics are covered, including supervised and unsupervised learning, neural networks, reinforcement learning, cloud-based services, and the ethical issues still posing problems within the industry. While Python is used as the primary language, many exercises will also have the solutions provided in R for greater versatility. A suite of online resources is available to support teaching across a range of different courses, including example syllabi, a solutions manual, and lecture slides. Datasets and code are also available online for students, giving them everything they need to practice the examples and problems in the book. Packed with real-world examples, industry insights and practical activities, this textbook is designed to teach machine learning in a way that is easy to understand and apply. It assumes only a basic knowledge of technology, making it an ideal resource for students and professionals, including those who are new to computer science. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.