摘要
由一名新闻记者-机器人与机器学习日报的工作人员新闻编辑每日新闻-机器学习的研究结果在一份新的报告中讨论。根据研究称，NewsRx记者源于中华人民共和国西安的新闻报道，“在工业领域培训机器学习(ML)模型面临着特殊的挑战，如数据隐私、数据缺乏、数据不平衡和未标记数据。因此，集中生产是不现实的直接来自不同公司的数据，并使用它们来训练机器学习模型。
Abstract
By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News - Research findings on Machine Learning are discussed in a new report. According tonews reporting originating in Xi’an, People’s Republic of China, by NewsRx journalists, research stated,“Training a Machine Learning (ML) model in the industrial field faces special challenges, s uch as dataprivacy, lack of data, data imbalance, and unlabeled data. Therefore , it is not realistic to gather productiondata directly from various companies and use them to train a machine learning model.”
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