摘要
机器人与机器学习每日新闻的一位新闻记者兼新闻编辑-机器学习的最新研究结果已经发表。根据NewsRx记者从芬兰赫尔辛基发回的新闻报道，研究表明，"重新培训机器学习NG(ML)模型对于随着数据随时变化保持其性能至关重要。然而，重新培训也很昂贵，因为它通常需要重新处理整个数据集。"这项研究的资助者包括赫尔辛基大学、芬兰研究委员会。
Abstract
By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Current study results on Machine Learn ing have been published. According to news reporting originating from Helsinki, Finland, by NewsRx correspondents, research stated, “Retraining a machine learni ng (ML) model is essential for maintaining its performance as the data change ov er time. However, retraining is also costly, as it typically requires re-process ing the entire dataset.” Funders for this research include University of Helsinki, Research Council of Fi nland.
NETL
NSTL