Neu Erschienen: 24.06.2022 Abbildung von Walrand | Probability in Electrical Engineering and Computer Science | 1. Auflage | 2022 | beck-shop.de

Walrand

Probability in Electrical Engineering and Computer Science

An Application-Driven Course

lieferbar ca. 10 Tage als Sonderdruck ohne Rückgaberecht

42,79 €

Preisangaben inkl. MwSt. Abhängig von der Lieferadresse kann die MwSt. an der Kasse variieren. Weitere Informationen

Fachbuch

Buch. Softcover

1st ed. 2021. 2022

xxi, 380 S. 68 s/w-Abbildungen, 146 Farbabbildungen, 150 Farbtabellen, Bibliographien.

In englischer Sprache

Springer. ISBN 978-3-030-49997-6

Format (B x L): 15,5 x 23,5 cm

Gewicht: 617 g

Produktbeschreibung

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. The companion website now has many examples of Python demos and also Python labs used in Berkeley. - Showcases techniques of applied probability with applications in EE and CS; - Presents all topics with concrete applications so students see the relevance of the theory; - Illustrates methods with Jupyter notebooks that use widgets to enable the users to modify parameters.

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