MARC details
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03660naaa 00637uu |
| 001 - CONTROL NUMBER |
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https://directory.doabooks.org/handle/20.500.12854/71297 |
| 005 - DATE AND TIME OF LATEST TRANSACTION |
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20211222140655.0 |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION |
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211013s9999 xx 000 0 und d |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER |
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| International Standard Book Number |
978-3-030-49995-2 |
| 024 ## - OTHER STANDARD IDENTIFIER |
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| Standard number or code |
10.1007/978-3-030-49995-2 |
| 042 ## - AUTHENTICATION CODE |
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| Authentication code |
dc |
| 245 #0 - TITLE STATEMENT |
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| Title |
Probability in Electrical Engineering and Computer Science : An Application-Driven Course |
| 260 ## - PUBLICATION, DISTRIBUTION, ETC. |
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| Name of publisher, distributor, etc. |
Springer Nature |
| Date of publication, distribution, etc. |
2021 |
| 300 ## - PHYSICAL DESCRIPTION |
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| Extent |
1 electronic resource (380 p.) |
| 520 ## - SUMMARY, ETC. |
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| Summary, etc. |
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. |
| 540 ## - TERMS GOVERNING USE AND REPRODUCTION NOTE |
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| Terms governing use and reproduction |
Creative Commons |
| 653 ## - INDEX TERM--UNCONTROLLED |
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| Uncontrolled term |
Probability and Statistics in Computer Science |
| 700 1# - ADDED ENTRY--PERSONAL NAME |
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| Personal name |
Walrand, Jean |
| 856 ## - ELECTRONIC LOCATION AND ACCESS |
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| Uniform Resource Identifier |
<a href="https://directory.doabooks.org/handle/20.500.12854/71297">https://directory.doabooks.org/handle/20.500.12854/71297</a> |
| 856 ## - ELECTRONIC LOCATION AND ACCESS |
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| Uniform Resource Identifier |
<a href="https://library.oapen.org/bitstream/20.500.12657/50016/1/978-3-030-49995-2.pdf">https://library.oapen.org/bitstream/20.500.12657/50016/1/978-3-030-49995-2.pdf</a> |
| 856 ## - ELECTRONIC LOCATION AND ACCESS |
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| Uniform Resource Identifier |
<a href="www.oapen.org">www.oapen.org</a> |
| 942 ## - ADDED ENTRY ELEMENTS (KOHA) |
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| Koha item type |
E-Book |
