000 | 04090nam a22006495i 4500 | ||
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001 | 978-3-030-49995-2 | ||
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008 | 210622s2021 sz | s |||| 0|eng d | ||
020 |
_a9783030499952 _9978-3-030-49995-2 |
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024 | 7 |
_a10.1007/978-3-030-49995-2 _2doi |
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050 | 4 | _aQA76.9.M35 | |
050 | 4 | _aQA276-280 | |
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_aUYAM _2bicssc |
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_a004.0151 _223 |
100 | 1 |
_aWalrand, Jean. _eauthor. _4aut _4http://id.loc.gov/vocabulary/relators/aut |
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245 | 1 | 0 |
_aProbability in Electrical Engineering and Computer Science _h[electronic resource] : _bAn Application-Driven Course / _cby Jean Walrand. |
250 | _a1st ed. 2021. | ||
264 | 1 |
_aCham : _bSpringer International Publishing : _bImprint: Springer, _c2021. |
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300 |
_aXXI, 380 p. 214 illus., 146 illus. in color. _bonline resource. |
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336 |
_atext _btxt _2rdacontent |
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337 |
_acomputer _bc _2rdamedia |
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338 |
_aonline resource _bcr _2rdacarrier |
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347 |
_atext file _bPDF _2rda |
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505 | 0 | _aChapter 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 & Complements -- A. Elementary Probability -- B. Basic Probability -- . Index. | |
506 | 0 | _aOpen Access | |
520 | _aThis 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. | ||
650 | 0 |
_aComputer science _xMathematics. |
|
650 | 0 | _aMathematical statistics. | |
650 | 0 | _aTelecommunication. | |
650 | 0 | _aEngineering mathematics. | |
650 | 0 |
_aEngineering _xData processing. |
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650 | 0 | _aProbabilities. | |
650 | 0 | _aStatisticsĀ . | |
650 | 1 | 4 | _aProbability and Statistics in Computer Science. |
650 | 2 | 4 | _aCommunications Engineering, Networks. |
650 | 2 | 4 | _aMathematical and Computational Engineering Applications. |
650 | 2 | 4 | _aProbability Theory. |
650 | 2 | 4 | _aStatistics in Engineering, Physics, Computer Science, Chemistry and Earth Sciences. |
710 | 2 | _aSpringerLink (Online service) | |
773 | 0 | _tSpringer Nature eBook | |
776 | 0 | 8 |
_iPrinted edition: _z9783030499945 |
776 | 0 | 8 |
_iPrinted edition: _z9783030499969 |
776 | 0 | 8 |
_iPrinted edition: _z9783030499976 |
856 | 4 | 0 | _uhttps://doi.org/10.1007/978-3-030-49995-2 |
912 | _aZDB-2-SCS | ||
912 | _aZDB-2-SXCS | ||
912 | _aZDB-2-SOB | ||
942 | _cSPRINGER | ||
999 |
_c178177 _d178177 |