| 000 | 01475nam a22003857a 4500 | ||
|---|---|---|---|
| 003 | OSt | ||
| 005 | 20250317111310.0 | ||
| 008 | 250314s2023 njua b 001 0 eng d | ||
| 020 | _a9781119897606 | ||
| 040 |
_cQCPL _erda |
||
| 082 | _a006.31 | ||
| 100 | 1 |
_aNaser, M. Z. _eauthor |
|
| 245 | 1 | 0 |
_aMachine learning for civil & environmental engineers _b: a practical approach to data-driven analysis, explainability, and causality _c/ M.Z. Naser |
| 246 | 3 | _aMachine learning for civil and environmental engineers | |
| 264 | 1 |
_aHoboken, New Jersey : _bJohn Wiley & Sons, _c[2023] |
|
| 300 |
_axix, 588 pages : _billustrations |
||
| 336 |
_2rdacontent _atext |
||
| 337 |
_2rdamedia _aunmediated |
||
| 338 |
_2rdacarrier _avolume |
||
| 504 | _aIncludes bibliographical references and index. | ||
| 505 | 0 | _aTeaching methods for this textbook | |
| 505 | 0 | _aIntroduction to machine learning | |
| 505 | 0 | _aData and statistics | |
| 505 | 0 | _aMachine learning algorithms | |
| 505 | 0 | _aPerformance fitness indicators and error metrics | |
| 505 | 0 | _aCoding-free and coding-based approaches to machine learning | |
| 505 | 0 | _aExplainability and interpretability | |
| 505 | 0 | _aCausal discovery and casual inference | |
| 505 | 0 | _aFinal thoughts and future directions | |
| 650 | _aMachine learning | ||
| 650 |
_aCivil engineering _xData processing |
||
| 650 |
_aEnvironmental engineering _xData processing |
||
| 690 |
_aEngineering _910974 |
||
| 942 |
_2ddc _cBOOK |
||
| 999 |
_c25652 _d25651 |
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