Probability in Electrical Engineering and Computer Science An Application-Driven Course
Material type: ArticleLanguage: English Publication details: Springer Nature 2021Description: 1 electronic resource (380 p.) Carrier type:- online resource
- 9783030499952
- 9783030499952
- Программирование
- Probability and Statistics in Computer Science
- Communications Engineering, Networks
- Mathematical and Computational Engineering Applications
- Detection theory
- Expectation maximization
- Stochastic gradient descent
- Matrix completion
- Linear and polynomial regression
- Communications engineering / telecommunications
Item type | Current library | Collection | Shelving location | Call number | Status | Notes | Date due | Barcode |
---|---|---|---|---|---|---|---|---|
Electronic edition | Bucheon University Library | Computers | DOAB | 004.4 P93 | Not for loan | Download (pdf) | 1010574 |
Open Access star Unrestricted online access
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. This is an open access book.
University of California, Berkeley Foundation
Creative Commons by/4.0/ cc
English
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