首页|New Findings Reported from University of the Chinese Academy of Sciences Describe Advances in Machine Learning (Machine Learning Models for Early-stage Investment Decision Making In Startups)
New Findings Reported from University of the Chinese Academy of Sciences Describe Advances in Machine Learning (Machine Learning Models for Early-stage Investment Decision Making In Startups)
扫码查看
点击上方二维码区域，可以放大扫码查看
原文链接
NETL
NSTL
By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Researchers detail new data in Machine Learning. According to news reporting fromBeijing, People’s Republic of China, by NewsRx journalists, research stated, “This study demonstrates theefficacy of machine learning techniques for evidence-based evaluation of early-stage ventures. Leveragingreal-world data on 24,965 startups across diverse sectors and countries sourced from Crunchbase, we developpredictive models using algorithms including random forest, XGBoost, and support vector machines.”
BeijingPeople’s Republic of ChinaAsiaCyborgsEmerging TechnologiesInvestment and FinanceMachine LearningUniversity of the Chinese Academy of Sciences
NETL
NSTL
