首页|Data on Machine Learning Reported by Researchers at Swiss Federal Institute of Technology Lausanne (EPFL) (scikit-matter : A Suite of Generalisable Machine Learning Methods Born out of Chemistry and Materials Science [version 2; peer review: 2 ...)
Data on Machine Learning Reported by Researchers at Swiss Federal Institute of Technology Lausanne (EPFL) (scikit-matter : A Suite of Generalisable Machine Learning Methods Born out of Chemistry and Materials Science [version 2; peer review: 2 ...)
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 – Investigators discuss new findings in artificial intelligence. According to news reportingoriginating from the Swiss Federal Institute of Technology Lausanne (EPFL) by NewsRx correspondents,research stated, “Easy-to-use libraries such as scikit-learn have accelerated the adoption and application ofmachine learning (ML) workflows and data-driven methods.”Funders for this research include Horizon 2020 Framework Programme; Schweizerischer NationalfondsZur Forderung Der Wissenschaftlichen Forschung; Wisconsin Alumni Research Foundation; Swiss PlatformFor Advanced Scientific Computing.
Swiss Federal Institute of Technology Lausanne (EPFL)ChemistryCyborgsEmerging TechnologiesMachine Learning
NETL
NSTL
