|
|
books
| book details |
Machine Learning for Data-Centric Geotechnics
Edited by Kok-Kwang Phoon, Edited by Chong Tang, Edited by Zi-Jun Cao
|
|
| on special |
normal price: R 7 502.95
Price: R 6 751.95
|
| book description |
Machine learning and other digital technologies fed with large datasets offer a major set of tools for practical geotechnical design. Large language models and other generative AIs can perform cognitive tasks currently undertaken by humans -- and might even predict the next event based on some time series. This depends on a balance of data centricity, fit-for (and transform) practice, and geotechnical context, and can be achieved by the integration of information, data, techniques, tools, perspectives, concepts, theories, along with experience from both geotechnical engineering and machine learning in computer science. And yet good engineering and research outcomes are still dependent on how practice (which includes the workforce) is improved or even transformed in the longer term to better serve end-users. This collection of focused chapters from a group of specialists presents principles and broad up to date practice of machine learning, along with a number of example areas of site characterization, design and construction in geotechnics. This book is essential for sophisticated practitioners as well as graduate students.
| product details |
Normally shipped |
Publisher | Taylor & Francis Ltd
Published date | 25 Aug 2026
Language |
Format | Hardback
Pages | 456
Dimensions | 254 x 178 x 0mm (L x W x H)
Weight | 0g
ISBN | 978-1-0328-8654-1
Readership Age |
BISAC | technology / engineering / civil
| other options |
Normally shipped |
Readership Age |
Normal Price | R 9 718.95
Price | R 8 746.95
| on special |
|
|
To view the items in your trolley please sign in.
| sign in |
|
|
|
| specials |
|
|
|
|
Matt Dinniman
Paperback / softback
480 pages
was: R 522.95
now: R 459.95
|
|
An epic love story with the pulse of a thriller that asks: what would you risk for a second chance at first love?
|
|
|
|
