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Editore: No Starch Press, 2024
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paperback. Condizione: Very Good. Very Good Condition - May show some limited signs of wear and may have a remainder mark. Pages and dust cover are intact and not marred by notes or highlighting.
Editore: No Starch Press, 2024
Da: Bellwetherbooks, McKeesport, PA, U.S.A.
paperback. Condizione: Good. Bruise/tear to cover.
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Da: GreatBookPrices, Columbia, MD, U.S.A.
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Paperback. Condizione: New.
Da: Revaluation Books, Exeter, Regno Unito
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Aggiungi al carrelloPaperback. Condizione: Brand New. 232 pages. 9.25x7.00x0.58 inches. In Stock.
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Aggiungi al carrellopaperback. Condizione: New. Special order direct from the distributor.
Condizione: New. 2024. paperback. . . . . . Books ship from the US and Ireland.
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Aggiungi al carrelloPaperback. Condizione: Brand New. 232 pages. 9.25x7.00x0.58 inches. In Stock.
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Editore: Random House LLC US Apr 2024, 2024
ISBN 10: 1718503768 ISBN 13: 9781718503762
Lingua: Inglese
Da: AHA-BUCH GmbH, Einbeck, Germania
EUR 60,71
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Aggiungi al carrelloTaschenbuch. Condizione: Neu. Neuware - Learn the answers to 30 cutting-edge questions in machine learning and AI and level up your expertise in the field.If you're ready to venture beyond introductory concepts and dig deeper into machine learning, deep learning, and AI, the question-and-answer format of Machine Learning Q and AI will make things fast and easy for you, without a lot of mucking about.Born out of questions often fielded by author Sebastian Raschka, the direct, no-nonsense approach of this book makes advanced topics more accessible and genuinely engaging. Each brief, self-contained chapter journeys through a fundamental question in AI, unraveling it with clear explanations, diagrams, and hands-on exercises.WHAT'S INSIDE:FOCUSED CHAPTERS: Key questions in AI are answered concisely, and complex ideas are broken down into easily digestible parts.WIDE RANGE OF TOPICS: Raschka covers topics ranging from neural network architectures and model evaluation to computer vision and natural language processing.PRACTICAL APPLICATIONS: Learn techniques for enhancing model performance, fine-tuning large models, and more.You'll also explore how to: Manage the various sources of randomness in neural network training Differentiate between encoder and decoder architectures in large language models Reduce overfitting through data and model modifications Construct confidence intervals for classifiers and optimize models with limited labeled data Choose between different multi-GPU training paradigms and different types of generative AI models Understand performance metrics for natural language processing Make sense of the inductive biases in vision transformersIf you've been on the hunt for the perfect resource to elevate your understanding of machine learning, Machine Learning Q and AI will make it easy for you to painlessly advance your knowledge beyond the basics.
Da: preigu, Osnabrück, Germania
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Aggiungi al carrelloTaschenbuch. Condizione: Neu. Machine Learning Q and AI | 30 Essential Questions and Answers on Machine Learning and AI | Sebastian Raschka | Taschenbuch | Einband - flex.(Paperback) | Englisch | 2024 | Random House LLC US | EAN 9781718503762 | Verantwortliche Person für die EU: Springer Fachmedien Wiesbaden GmbH, Postfach:15 46, 65189 Wiesbaden, info[at]bod[dot]de | Anbieter: preigu.