001431084 000__ 03531cam\a2200553\i\4500 001431084 001__ 1431084 001431084 003__ OCoLC 001431084 005__ 20230308003220.0 001431084 006__ m\\\\\o\\d\\\\\\\\ 001431084 007__ cr\un\nnnunnun 001431084 008__ 210702s2021\\\\sz\a\\\\ob\\\\001\0\eng\d 001431084 020__ $$a9783030499952$$q(electronic bk.) 001431084 020__ $$a3030499952$$q(electronic bk.) 001431084 020__ $$z9783030499945 001431084 020__ $$z3030499944 001431084 0247_ $$a10.1007/978-3-030-49995-2$$2doi 001431084 035__ $$aSP(OCoLC)1258658362 001431084 040__ $$aYDX$$beng$$erda$$epn$$cYDX$$dNOC$$dGW5XE$$dOCLCO$$dOCLCF$$dOCLCQ$$dOCLCO$$dOCLCQ 001431084 049__ $$aISEA 001431084 050_4 $$aQA273$$b.W35 2021 001431084 08204 $$a519.2$$223 001431084 1001_ $$aWalrand, Jean,$$eauthor. 001431084 24510 $$aProbability in electrical engineering and computer science :$$ban application-driven course /$$cJean Walrand. 001431084 250__ $$a[Second edition]. 001431084 264_1 $$aCham :$$bSpringer,$$c[2021] 001431084 264_4 $$c©2021 001431084 300__ $$a1 online resource :$$billustrations (some color) 001431084 336__ $$atext$$btxt$$2rdacontent 001431084 337__ $$acomputer$$bc$$2rdamedia 001431084 338__ $$aonline resource$$bcr$$2rdacarrier 001431084 504__ $$aIncludes bibliographical references and index. 001431084 5050_ $$aChapter 1. Page Rank -- A -- Chapter 2. Page Rank -- B -- Chapter 3. Multiplexing -- A -- Chapter 4. Multiplexing -- B -- Chapter 5. Networks -- A -- Chapter 6. Networks -- B -- Chapter 7. Digital Link -- A -- Chapter 8. Digital Link -- B -- Chapter 9. Tracking -- A -- Chapter 10. Tracking -- B -- Chapter 11. Speech Recognition -- A -- Chapter 12. Speech Recognition -- B -- Chapter 13. Route planning -- A -- Chapter 14. Route Planning -- B -- chapter 15. Perspective & Complements -- A. Elementary Probability -- B. Basic Probability -- Index. 001431084 5060_ $$aOpen access$$5GW5XE 001431084 520__ $$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. 001431084 588__ $$aOnline resource; title from PDF title page (SpringerLink, viewed July 22, 2021). 001431084 650_0 $$aProbabilities. 001431084 650_0 $$aElectrical engineering$$xMathematics. 001431084 650_0 $$aComputer science$$xMathematics. 001431084 650_6 $$aProbabilités. 001431084 650_6 $$aGénie électrique$$xMathématiques. 001431084 650_6 $$aInformatique$$xMathématiques. 001431084 655_0 $$aElectronic books. 001431084 77608 $$iPrint version:$$aWalrand, Jean.$$tProbability in electrical engineering and computer science.$$b[Second edition].$$dCham : Springer, [2021]$$z3030499944$$z9783030499945$$w(OCoLC)1154075670 001431084 852__ $$bebk 001431084 85640 $$3Springer Nature$$uhttps://link.springer.com/10.1007/978-3-030-49995-2$$zOnline Access$$91397441.2 001431084 909CO $$ooai:library.usi.edu:1431084$$pGLOBAL_SET 001431084 980__ $$aBIB 001431084 980__ $$aEBOOK 001431084 982__ $$aEbook 001431084 983__ $$aOnline 001431084 994__ $$a92$$bISE