论文标题
在监督机器学习中教授回归时，提议的框架进行完整分析
Proposed Framework for complete analysis when teaching Regression in Supervised Machine Learning
论文作者
论文摘要
对于学生和讲师来说，将不同的回归概念拼凑在一起以连贯进行完整的数据分析可能具有挑战性。我建议使用一个框架，该框架加强了监督机器学习中回归的详细步骤，并在整个课程中重申。这是基于过去的文献，支持重申和系统的教学。这种情况还可以减轻新手和专家在向小学和中学生讲授此类概念的专家之间的适用和可见的教育差距。
It could be challenging for students and instructors to piece together a different regression concepts to coherently perform a complete data analysis. I propose using a framework which reinforces the detailed steps towards regression in Supervised Machine Learning, to be reiterated throughout the coursework. This is based on past literatures supporting reiterated and systematic teaching. Such could also mitigate the applicable and visible educational gap between Novices and Experts in teaching such concepts to Primary and Secondary School students.
