| 000 | 01159nam a2200205 i 4500 | ||
|---|---|---|---|
| 020 | _a9781009168236 | ||
| 082 | 0 | 4 | _a300.2855631 |
| 100 | 1 | _aGreen, Jonathan, | |
| 245 | 1 | 0 |
_aMachine learning for experiments in the social sciences / _cJon Green, Mark H. White |
| 264 | 1 |
_aCambridge : _bCambridge University Press, _c2023 |
|
| 300 |
_a1 online resource (72 pages) : _billustrations (black and white, and colour) |
||
| 490 | 1 | _aCambridge elements. Elements in experimental political science, | |
| 520 | 8 | _aCausal inference and machine learning are typically introduced in the social sciences separately as theoretically distinct methodological traditions. This volume provides theoretical and practical introductions to machine learning for social scientists interested in applying such methods to experimental data | |
| 650 | 0 | _aSocial sciences | |
| 650 | 0 | _aMachine learning | |
| 700 | 1 | _aWhite, Mark Harmon, | |
| 856 | 4 | 0 | _uhttps://www.cambridge.org/core/product/identifier/9781009168236/type/ELEMENT |
| 856 | 4 | 0 | _uhttp://proxy.ohiolink.edu:9099/login?url=https://www.cambridge.org/core/product/identifier/9781009168236/type/ELEMENT |
| 942 |
_2lcc _cBK |
||
| 999 |
_c10285 _d10285 |
||