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Language: en
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Type: BOOK - Published: 2020-04-14 - Publisher: MIT Press
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Language: en
Pages: 251
Pages: 251
Type: BOOK - Published: 2023-05-10 - Publisher: CRC Press
This book explains use of data science-based techniques for modeling and providing optimal solutions to complex problems in civil engineering. It discusses civi
Language: en
Pages: 254
Pages: 254
Type: BOOK - Published: 2023-02-15 - Publisher: Springer Nature
Recent studies highlight the application of artificial intelligence, machine learning, and simulation techniques in engineering. This book covers the successful
Language: en
Pages: 858
Pages: 858
Type: BOOK - Published: 2022-03-01 - Publisher: MIT Press
A detailed and up-to-date introduction to machine learning, presented through the unifying lens of probabilistic modeling and Bayesian decision theory. This boo
Language: en
Pages: 592
Pages: 592
Type: BOOK - Published: 2019-10-05 - Publisher: Butterworth-Heinemann
Handbook of Probabilistic Models carefully examines the application of advanced probabilistic models in conventional engineering fields. In this comprehensive h