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Lingua: Inglese
Editore: Springer Nature Switzerland AG, Cham, 2022
ISBN 10: 3030499979 ISBN 13: 9783030499976
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Paperback. Condizione: new. Paperback. This revised textbook motivates and illustrates the techniques of applied probability by applications in electrical engineering and computer science (EECS). The author presents information processing and communication systems that use algorithms based on probabilistic models and techniques, including web searches, digital links, speech recognition, GPS, route planning, recommendation systems, classification, and estimation. He then explains how these applications work and, along the way, provides the readers with the understanding of the key concepts and methods of applied probability. Python labs enable the readers to experiment and consolidate their understanding. The book includes homework, solutions, and Jupyter notebooks. This edition includes new topics such as Boosting, Multi-armed bandits, statistical tests, social networks, queuing networks, and neural networks. For ancillaries related to this book, including examples of Python demos and also Python labs used in Berkeley, please email Mary James at .This is an open access book. This edition includes new topics such as Boosting, Multi-armed bandits, statistical tests, social networks, queuing networks, and neural networks. For ancillaries related to this book, including examples of Python demos and also Python labs used in Berkeley, please email Mary James at .This is an open access book. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
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Aggiungi al carrelloHardcover. Condizione: Brand New. 401 pages. 9.25x6.10x1.10 inches. In Stock.
Lingua: Inglese
Editore: Springer Nature Switzerland AG, Cham, 2022
ISBN 10: 3030499979 ISBN 13: 9783030499976
Da: AussieBookSeller, Truganina, VIC, Australia
Prima edizione
EUR 76,27
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Aggiungi al carrelloPaperback. Condizione: new. Paperback. This revised textbook motivates and illustrates the techniques of applied probability by applications in electrical engineering and computer science (EECS). The author presents information processing and communication systems that use algorithms based on probabilistic models and techniques, including web searches, digital links, speech recognition, GPS, route planning, recommendation systems, classification, and estimation. He then explains how these applications work and, along the way, provides the readers with the understanding of the key concepts and methods of applied probability. Python labs enable the readers to experiment and consolidate their understanding. The book includes homework, solutions, and Jupyter notebooks. This edition includes new topics such as Boosting, Multi-armed bandits, statistical tests, social networks, queuing networks, and neural networks. For ancillaries related to this book, including examples of Python demos and also Python labs used in Berkeley, please email Mary James at .This is an open access book. This edition includes new topics such as Boosting, Multi-armed bandits, statistical tests, social networks, queuing networks, and neural networks. For ancillaries related to this book, including examples of Python demos and also Python labs used in Berkeley, please email Mary James at .This is an open access book. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.