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

Resumen/Descripción – provisto por la editorial

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Palabras clave – provistas por la editorial

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