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| 001 |
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| 008 |
210622s2021 sz | o |||| 0|eng d |
| 005 |
20230829020311.7 |
| 020 |
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|a 9783030499952
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| 024 |
7 |
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|a 10.1007/978-3-030-49995-2
|2 doi
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| 035 |
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|a (DE-He213)978-3-030-49995-2
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|a QA276-280
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|a UYAM
|2 bicssc
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|a COM077000
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|a UYAM
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|a 005.55
|2 23
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| 100 |
1 |
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|a Walrand, Jean.
|e author.
|4 aut
|4 http://id.loc.gov/vocabulary/relators/aut
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| 245 |
1 |
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|a Probability in Electrical Engineering and Computer Science :
|b An Application-Driven Course /
|c by Jean Walrand.
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| 250 |
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|a 1st ed. 2021.
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| 264 |
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1 |
|a Cham :
|b Springer International Publishing :
|b Imprint: Springer,
|c 2021.
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| 300 |
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|a 1 online resource (XXI, 380 pages 214 illustrations, 146 illustrations in color.)
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| 336 |
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|a text
|b txt
|2 rdacontent
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| 337 |
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|a computer
|b c
|2 rdamedia
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| 338 |
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|a online resource
|b cr
|2 rdacarrier
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| 347 |
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|a text file
|b PDF
|2 rda
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| 505 |
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|a Chapter 1. Page Rank - A -- Chapter 2. Page Rank - B -- Chapter 3. Multiplexing - A -- Chapter 4. Multiplexing - B -- Chapter 5. Networks - A -- Chapter 6. Networks - B -- Chapter 7. Digital Link - A -- Chapter 8. Digital Link - B -- Chapter 9. Tracking - A -- Chapter 10. Tracking - B -- Chapter 11. Speech Recognition - A -- Chapter 12. Speech Recognition - B -- Chapter 13. Route planning - A -- Chapter 14. Route Planning - B -- chapter 15. Perspective and Complements -- A. Elementary Probability -- B. Basic Probability -- . Index.
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| 506 |
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|a Open Access
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| 520 |
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|a 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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| 650 |
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|a Mathematical statistics.
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| 650 |
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|a Electrical engineering.
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| 650 |
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|a Applied mathematics.
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| 650 |
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|a Engineering mathematics.
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| 650 |
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|a Probabilities.
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| 650 |
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|a Statistics .
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| 650 |
1 |
4 |
|a Probability and Statistics in Computer Science.
|0 https://scigraph.springernature.com/ontologies/product-market-codes/I17036
|
| 650 |
2 |
4 |
|a Communications Engineering, Networks.
|0 https://scigraph.springernature.com/ontologies/product-market-codes/T24035
|
| 650 |
2 |
4 |
|a Mathematical and Computational Engineering.
|0 https://scigraph.springernature.com/ontologies/product-market-codes/T11006
|
| 650 |
2 |
4 |
|a Probability Theory and Stochastic Processes.
|0 https://scigraph.springernature.com/ontologies/product-market-codes/M27004
|
| 650 |
2 |
4 |
|a Statistics for Engineering, Physics, Computer Science, Chemistry and Earth Sciences.
|0 https://scigraph.springernature.com/ontologies/product-market-codes/S17020
|
| 655 |
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7 |
|a Electronic books.
|2 local
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| 710 |
2 |
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|a SpringerLink (Online service)
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| 773 |
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|t Springer Nature eBook
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| 776 |
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8 |
|i Printed edition:
|z 9783030499945
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| 776 |
0 |
8 |
|i Printed edition:
|z 9783030499969
|
| 776 |
0 |
8 |
|i Printed edition:
|z 9783030499976
|
| 856 |
4 |
0 |
|u https://doi.org/10.1007/978-3-030-49995-2
|z Connect to the full text of this electronic book
|t 0
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| 950 |
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|a Computer Science (SpringerNature-11645)
|
| 950 |
|
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|a Computer Science (R0) (SpringerNature-43710)
|
| 955 |
|
|
|a Springer OA ebooks
|
| 999 |
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|s bc8eec22-f7e6-37d9-8e01-a756d51ac85b
|i 911c867b-58a7-37e5-abf8-4b9e9264a4c1
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|
| 952 |
f |
f |
|a Texas A&M University
|b College Station
|c Electronic Resources
|d Available Online
|t 0
|e QA276-280
|h Library of Congress classification
|
| 998 |
f |
f |
|a QA276-280
|t 0
|l Available Online
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