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Probability in Electrical Engineering and Computer Science

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, includin...

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Salvato in:
Autore principale: Walrand, Jean
Natura: Online
Lingua:inglese
Pubblicazione: Springer Nature 2021
Soggetti:
Probability and Statistics in Computer Science
Communications Engineering, Networks
Mathematical and Computational Engineering
Probability Theory and Stochastic Processes
Statistics for Engineering, Physics, Computer Science, Chemistry and Earth Sciences
Mathematical and Computational Engineering Applications
Probability Theory
Statistics in Engineering, Physics, Computer Science, Chemistry and Earth Sciences
Applied probability
Hypothesis testing
Detection theory
Expectation maximization
Stochastic dynamic programming
Machine learning
Stochastic gradient descent
Deep neural networks
Matrix completion
Linear and polynomial regression
Open Access
Maths for computer scientists
Mathematical & statistical software
Communications engineering / telecommunications
Maths for engineers
Probability & statistics
Stochastics
Textbook
thema EDItEUR::U Computing and Information Technology::UY Computer science::UYA Mathematical theory of computation::UYAM Maths for computer scientists
thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TJ Electronics and communications engineering::TJK Communications engineering / telecommunications
thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues::TBJ Maths for engineers
thema EDItEUR::P Mathematics and Science::PB Mathematics::PBT Probability and statistics
Accesso online:ONIX_20210714_9783030499952_7
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Accesso online

ONIX_20210714_9783030499952_7

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