首页|Findings from Binghamton University Broaden Understanding of Machine Learning (P redicting Unpaid Care Work In India Using Random Forest: an Analysis of Socioeco nomic and Demographic Factors)
Findings from Binghamton University Broaden Understanding of Machine Learning (P redicting Unpaid Care Work In India Using Random Forest: an Analysis of Socioeco nomic and Demographic Factors)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News - Investigators publish new report on Ma chine Learning. According to news reportingout of Binghamton, New York, by News Rx editors, the research stated, “Given the complexity of unpaidcare work in th e Indian context, this study employs advanced machine learning techniques to unv eilhidden patterns within the 2019 time-use survey dataset. The study pursues a dual objective: (1) assessingthe superior predictive capability of machine lea rning over traditional statistical methods in estimatingunpaid care work time, and (2) unveiling the sociodemographic determinants of extended unpaid care workdurations.”
BinghamtonNew YorkUnited StatesNor th and Central AmericaCyborgsEmerging TechnologiesMachine LearningBingha mton University
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