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Probability in Electrical Engineering and Computer Science [[electronic resource] ] : An Application-Driven Course
Probability in Electrical Engineering and Computer Science [[electronic resource] ] : An Application-Driven Course
Autore Walrand Jean
Pubbl/distr/stampa Cham, : Springer International Publishing AG, 2021
Descrizione fisica 1 online resource (390 p.)
Soggetto topico Maths for computer scientists
Communications engineering / telecommunications
Maths for engineers
Probability & statistics
Soggetto non controllato 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
ISBN 3-030-49995-2
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNISA-996464521903316
Walrand Jean  
Cham, : Springer International Publishing AG, 2021
Materiale a stampa
Lo trovi qui: Univ. di Salerno
Opac: Controlla la disponibilità qui
Probability in Electrical Engineering and Computer Science : An Application-Driven Course
Probability in Electrical Engineering and Computer Science : An Application-Driven Course
Autore Walrand Jean
Pubbl/distr/stampa Cham, : Springer International Publishing AG, 2021
Descrizione fisica 1 online resource (390 p.)
Soggetto topico Maths for computer scientists
Communications engineering / telecommunications
Maths for engineers
Probability & statistics
Soggetto non controllato 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
ISBN 3-030-49995-2
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNINA-9910488709003321
Walrand Jean  
Cham, : Springer International Publishing AG, 2021
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui