TY  - BOOK
AU  - Prugel-Bennett,Adam
ED  - Ohio Library and Information Network.
TI  - The probability companion for engineering and computer science
SN  - 9781108727709
SN  - 978110872
AV  - TA340 .P84 2019
U1  - 519.2 BEN 2019 23
PY  - 2019///
CY  - Cambridge
PB  - Cambridge University Press
KW  - Engineering
KW  - Statistical methods
KW  - Computer science
KW  - Probabilities
KW  - Electronic books
N1  - Available to OhioLINK libraries
N2  - This friendly guide is the companion you need to convert pure mathematics into understanding and facility with a host of probabilistic tools. The book provides a high-level view of probability and its most powerful applications. It begins with the basic rules of probability and quickly progresses to some of the most sophisticated modern techniques in use, including Kalman filters, Monte Carlo techniques, machine learning methods, Bayesian inference and stochastic processes. It draws on thirty years of experience in applying probabilistic methods to problems in computational science and engineering, and numerous practical examples illustrate where these techniques are used in the real world. Topics of discussion range from carbon dating to Wasserstein GANs, one of the most recent developments in Deep Learning. The underlying mathematics is presented in full, but clarity takes priority over complete rigour, making this text a starting reference source for researchers and a readable overview for students
UR  - https://rave.ohiolink.edu/ebooks/ebc2/9781108480536
UR  - https://www.cambridge.org/core/product/identifier/9781108635349/type/BOOK
UR  - https://go.ohiolink.edu/goto?url=https://www.cambridge.org/core/product/identifier/9781108635349/type/BOOK
ER  -