Probabilistic Machine Learning for Civil Engineers
Overview & Synopsis
This comprehensive textbook presents basic machine learning methods for civil engineers who do not have a specialized background in statistics or in computer science. In addition to the fundamentals, the book includes several case studies that students and professionals will appreciate.
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Document Information
| Document Title | Probabilistic Machine Learning for Civil Engineers |
|---|---|
| Author / Organization | James-A. Goulet |
| Subject & Discipline | Machine Learning, Probability Theory and Stochastic Processes, Data Analysis and Data Mining, Artificial Intelligence |
| Categories | Machine Learning |
| Publication Year | 2020 |
| ISBN | 0262538709 |
| License / Rights | CC BY-NC-ND 4.0 |
| Resource Verification | Verification pending |
| Original Host Website |
FreeComputerBooks.com
(freecomputerbooks.com)
|
| File Format | application/pdf (Portable Document Format) |
| Language | ENGLISH |
| Catalog ID | DOC-11232 |
| Original Source Link | Visit Source Page on freecomputerbooks.com » |
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