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| Machine Learning and Artificial Intelligence to Advance Earth System Science: Opportunities and Challenges: Proceedings of a Workshop 科技报告
来源：National Academies Press. 出版年： 2022
作者: National Academies of Sciences, Engineering, and Medicine
  收藏 | 浏览/下载：3/0 | 提交时间：2022/06/24 |
| Using Prices, Automation, and Data to Shape Electricity Demand and Integrate Renewables into the Grid 科技报告
来源：Resources for the Future. 出版年： 2022
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收藏 | 浏览/下载：1/0 | 提交时间：2022/06/24 |
| Where Are All the Jobs? A Machine Learning Approach for High Resolution Urban Employment Prediction in Developing Countries 科技报告
来源：Oxford Martin School, University of Oxford. 出版年： 2022
作者: World Bank
收藏 | 浏览/下载：7/0 | 提交时间：2022/06/24 |
| Data Protection or Data Utility? 科技报告
来源：Center for Strategic & International Studies. 出版年： 2022
作者: Alexander Kersten
收藏 | 浏览/下载：30/0 | 提交时间：2022/02/23 |
| The effect of forest land use on the cost of drinking water supply: machine learning evidence from South African data 科技报告
来源：Environment for Development Initiative. 出版年： 2022
作者: Dambala Gelo; Jane Turpie
收藏 | 浏览/下载：2/0 | 提交时间：2022/02/16 |
| Adaptive Water Management in the Face of Uncertainty: Integrating Machine Learning, Groundwater Modeling and Robust Decision Making 科技报告
来源：RAND Corporation. 出版年： 2021
作者: admin
收藏 | 浏览/下载：2/0 | 提交时间：2022/01/14 |
| Imperial students to supercharge their entrepreneurial ideas 科技报告
来源：Imperial College London. 出版年： 2021
作者: admin
收藏 | 浏览/下载：5/0 | 提交时间：2022/01/14 |
| Tropical peat subsidence rates are related to decadal LULC changes: Insights from InSAR analysis 科技报告
来源：Institute for Global Environmental Strategies. 出版年： 2021
作者: Umarhadi, Deha Agus; Widyatmanti, Wirastuti; Kumar, Pankaj; Yunus, Ali P.; Khedher, Khaled Mohamed; Kharrazi, Ali; Avtar, Ram
收藏 | 浏览/下载：13/0 | 提交时间：2021/12/15 |
| Machine-learning-based evidence and attribution mapping of 100,000 climate impact studies 科技报告
来源：Climate Analytics. 出版年： 2021
作者: Max Callaghan; Carl-Friedrich Schleussner; Shruti Nath; Quentin Lejeune; Thomas R. Knutson; Markus Reichstein; Gerrit Hansen; Emily Theokritoff; Marina Andrijevic; Robert J. Brecha; Michael Hegarty; Chelsea Jones; Kaylin Lee; Agathe Lucas; Nicole van Maanen; Inga Menke; Peter Pfleiderer; Burcu Yesil and Jan C. Minx
收藏 | 浏览/下载：10/0 | 提交时间：2021/10/22 |
| RCTs Against the Machine: Can Machine Learning Prediction Methods Recover Experimental Treatment Effects? 科技报告
来源：Resources for the Future. 出版年： 2021
作者: Brian Prest; Casey Wichman; and Karen Palmer
收藏 | 浏览/下载：10/0 | 提交时间：2021/10/07 |
