Probability in Electrical Engineering and Computer Science Book Reviews

AUTHOR
Jean Walrand
SCORE
0
TOTAL RATINGS
86

Probability in Electrical Engineering and Computer Science by Jean Walrand Book Summary

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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Book Name Probability in Electrical Engineering and Computer Science
Genre Computers
Published
Language English
E-Book Size 24.41 MB

Probability in Electrical Engineering and Computer Science (Jean Walrand) Book Reviews 2024

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Summary of Probability in Electrical Engineering and Computer Science by Jean Walrand

The Probability in Electrical Engineering and Computer Science book written by Jean Walrand was published on 22 June 2021, Tuesday in the Computers category. A total of 86 readers of the book gave the book 0 points out of 5.

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