TY  - BOOK
AU  - Goulet,James-A.
TI  - Probabilistic machine learning for civil engineers
SN  - 9780262538701
AV  - Q325.5 .G68 2020
U1  - 006.31 23
PY  - 2020///
CY  - Cambridge, Massachusetts
PB  - The MIT Press
KW  - Machine learning
KW  - Probabilities
N1  - Includes bibliographical references (pages [259]-266) and index
N2  - "The book introduces probabilistic machine learning concepts to civil engineering students and professionals, who typically do not have the background necessary to understand the subject from a purely computer science perspective. It presents key approaches among the three sub-fields of machine learning: supervised, unsupervised, and reinforcement learning. The methods are demonstrated through step-by-step examples and copius illustrations in order to simplify abstract concepts. The book will prepare readers to access the vast body of literature from the field of machine learning"--
ER  -