摘要
由一名新闻记者兼机器人与机器学习的工作人员新闻编辑每日新闻-关于机器学习的详细数据已经呈现。根据NewsRx记者在澳大利亚吉隆的新闻报道，研究表明：“在过去十年的数据驱动决策中，机器学习(ML)系统占据了主导地位。由于机器学习系统和传统软件工程系统的特点不同，我们不知道问题报道的需求有多大的不同。”目的我们旨在比较开源应用人工智能项目中ML和非ML问题在解决时间和修复规模方面的差异。
Abstract
By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Data detailed on Machine Learning have been presented. According to news reporting originating in Geelong, Australia, by NewsRx journalists, research stated, “In the last decade of data-driven decis ion-making, Machine Learning (ML) systems reign supreme. Because of the differen t characteristics between ML and traditional Software Engineering systems, we do not know to what extent the issue-reporting needs are different, and to what ex tent these differences impact the issue resolution process.Objective We aim to c ompare the differences between ML and non-ML issues in open-source applied AI pr ojects in terms of resolution time and size of fix.”
NETL
NSTL