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

• Hoofdauteur: Walrand, Jean (auth)
• Formaat: Elektronisch Hoofdstuk
• Taal: Engels
• Gepubliceerd in: Springer Nature 2021
• Onderwerpen: 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
• Online toegang: OAPEN Library: download the publication; OAPEN Library: description of the publication