首页|World Bank Details Findings in Machine Learning (Estimating Urban Gdp Growth Usi ng Nighttime Lights and Machine Learning Techniques In Data Poor Environments: t he Case of South Sudan)
World Bank Details Findings in Machine Learning (Estimating Urban Gdp Growth Usi ng Nighttime Lights and Machine Learning Techniques In Data Poor Environments: t he Case of South Sudan)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Investigators publish new report on Ma chine Learning. According to news reporting originating in Washington, District of Columbia, by NewsRx journalists, research stated, “Estimating economic perfor mance in data poor, fragile, and conflict environments with weak capacities for the generation of timely and quality official statistics is challenging. Drawing on recent advances in the use of remote sensing data to estimate economic activ ities, this paper identifies the observable variables that are correlated with n ighttime lights in urban South Sudan.”
WashingtonDistrict of ColumbiaUnited StatesNorth and Central AmericaCyborgsEmerging TechnologiesMachine Lear ningWorld Bank
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