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  • Open Daily: 10am - 10pm
    Alley-side Pickup: 10am - 7pm

    3038 Hennepin Ave Minneapolis, MN
    612-822-4611

Open Daily: 10am - 10pm | Alley-side Pickup: 10am - 7pm
3038 Hennepin Ave Minneapolis, MN
612-822-4611
Probability in Electrical Engineering and Computer Science: An Application-Driven Course

Probability in Electrical Engineering and Computer Science: An Application-Driven Course

Walrand, Jean

Hardcover

Technology & EngineeringApplications

Currently unavailable to order

ISBN10: 3030499944
ISBN13: 9783030499945
Publisher: Springer Nature
Published: Jun 23 2021
Pages: 380
Weight: 1.50
Height: 0.90 Width: 7.70 Depth: 9.40
Language: English

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 mary.james@springer.com.

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