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ISBN 10: 1708623264 ISBN 13: 9781708623265
Anbieter: GreatBookPrices, Columbia, MD, USA
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ISBN 10: 1708623264 ISBN 13: 9781708623265
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Anbieter: GreatBookPrices, Columbia, MD, USA
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Zustand: New.
Anbieter: Majestic Books, Hounslow, Vereinigtes Königreich
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Anbieter: Books Puddle, New York, NY, USA
Zustand: New. First edition Includes bibliographical references and index.
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Verlag: CreateSpace Independent Publishing Platform, 2018
ISBN 10: 1727831969 ISBN 13: 9781727831962
Sprache: Englisch
Anbieter: California Books, Miami, FL, USA
Zustand: New. Print on Demand.
Anbieter: THE SAINT BOOKSTORE, Southport, Vereinigtes Königreich
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Anbieter: Biblios, Frankfurt am main, HESSE, Deutschland
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Verlag: GRIN Verlag, GRIN Verlag Mär 2025, 2025
ISBN 10: 3389122508 ISBN 13: 9783389122501
Sprache: Englisch
Anbieter: buchversandmimpf2000, Emtmannsberg, BAYE, Deutschland
Taschenbuch. Zustand: Neu. Neuware -Scientific Study from the year 2025 in the subject Computer Sciences - Artificial Intelligence, , language: English, abstract: In recent times, developments in artificial intelligence (AI) and machine learning (ML) have propelled improvements in systems and control engineering. We exist in a time of extensive data, where AI and ML can evaluate large volumes of information instantly to enhance efficiency and precision in decisions based on data. In control engineering, for instance, AI algorithms can anticipate system behaviors and autonomously modify controls to enhance performance for better efficiency and dependability. ML models, with their ability to learn, consistently enhance their predictions and choices as they handle additional data, enabling systems to dynamically adjust to evolving environments and operational circumstances. This swift adjustment enhances the functions of current systems and enables the creation of groundbreaking solutions, like self-driving cars and intelligent power grids, which were previously deemed unfeasible.The rapid expansion of digital data has propelled significant advancements in Big Data analytics, Machine Learning, and Deep Learning. These technologies are increasingly integrated across industries, facilitating automated decision-making, predictive modeling, and advanced pattern recognition. This chapter provides an in-depth review of recent progress in these domains, emphasizing breakthroughs in scalable data processing frameworks, cloud and edge computing, AutoML, explainable AI, transformer architectures, self-supervised learning, and generative models. Furthermore, it explores key applications in healthcare, finance, and autonomous systems, along with challenges such as data privacy, ethical concerns, and computational constraints. The discussion concludes with future directions, highlighting the potential of federated learning, neuromorphic computing, and novel algorithmic improvements to further expand AI's impact across disciplines. 56 pp. Englisch.
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In den WarenkorbPaperback. Zustand: Brand New. 188 pages. 9.18x6.12x9.21 inches. In Stock.
Verlag: LAP LAMBERT Academic Publishing, 2024
ISBN 10: 6208009693 ISBN 13: 9786208009694
Sprache: Englisch
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Verlag: LAP LAMBERT Academic Publishing, 2024
ISBN 10: 6208009693 ISBN 13: 9786208009694
Sprache: Englisch
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Taschenbuch. Zustand: Neu. Big Data, Machine, and Deep Learning | Recent Progress, Key Applications, and Future Directions | Rajesh Kumar Mishra (u. a.) | Taschenbuch | Englisch | 2025 | GRIN Verlag | EAN 9783389122501 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu.
Verlag: The Institution of Engineering a, 2024
ISBN 10: 1839537434 ISBN 13: 9781839537431
Sprache: Englisch
Anbieter: Books From California, Simi Valley, CA, USA
hardcover. Zustand: Very Good.
Verlag: China Water Conservancy and Hydropower Press, 2022
ISBN 10: 751709985X ISBN 13: 9787517099857
Sprache: Englisch
Anbieter: liu xing, Nanjing, JS, China
paperback. Zustand: New. Paperback.Pub Date:2022-03-01 Pages:418 Publisher:China Water Resources and Hydropower Press Deep learning is a subset of machine learning based on multi-layer neural networks. which can solve particularly difficult and difficult tasks in fields such as natural language processing and image classification. massive problem. Apache Spark Deep Learning in Action breaks down the complexity of the technical and analytical parts and the speed at which deep learning solutions can be implemented on A.
Verlag: The Institution of Engineering and Technology, 2024
ISBN 10: 1839537434 ISBN 13: 9781839537431
Sprache: Englisch
Anbieter: GreatBookPrices, Columbia, MD, USA
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Verlag: The Institution of Engineering and Technology, 2024
ISBN 10: 1839537434 ISBN 13: 9781839537431
Sprache: Englisch
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Anbieter: Chiron Media, Wallingford, Vereinigtes Königreich
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In den WarenkorbHardcover. Zustand: New.
Verlag: The Institution of Engineering and Technology, 2024
ISBN 10: 1839537434 ISBN 13: 9781839537431
Sprache: Englisch
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