Probability in Electrical Engineering and Computer Science An Application-Driven Course

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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Detalles Bibliográficos
Autor principal:	Walrand, Jean (-)
Formato:	Libro electrónico
Idioma:	Inglés
Publicado:	Cham : Springer International Publishing AG 2021.
Materias:	Maths for computer scientists Communications engineering / telecommunications Maths for engineers Probability & statistics 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 Mathematical & statistical software Stochastics
Ver en Biblioteca Universitat Ramon Llull:	https://discovery.url.edu/permalink/34CSUC_URL/1im36ta/alma991009654045906719