机器学习课程是人工智能方向研究生的核心基础课程,其教学效果直接影响研究生后续学习的质量。本文通过调查分析机器学习课程当前教学中存在的问题,提的英语翻译

机器学习课程是人工智能方向研究生的核心基础课程,其教学效果直接影响研究

机器学习课程是人工智能方向研究生的核心基础课程,其教学效果直接影响研究生后续学习的质量。本文通过调查分析机器学习课程当前教学中存在的问题,提出从合理安排教学内容、教学方法的改革以及考核方法的改进等几方面对该课程的教学模式进行改革实践,倡导问题驱动教学法和分享式教学法,并利用丰富的网络教学资源,将传统的课堂讲授模式拓展为多渠道、多形式的研讨式、探究式的互动教学模式。希望能够有效地提高该课程的教学质量
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Machine learning courses are the core basic courses for postgraduates in the field of artificial intelligence, and their teaching effects directly affect the quality of postgraduates' follow-up studies. This paper investigates and analyzes the existing problems in the current teaching of machine learning courses, proposes to reform and practice the teaching mode of the course from the rational arrangement of teaching content, reform of teaching methods and improvement of assessment methods, and advocates problem-driven teaching methods and sharing The method of teaching, and the use of abundant online teaching resources, expand the traditional classroom teaching mode into a multi-channel, multi-form seminar and inquiry-based interactive teaching mode. Hope to effectively improve the teaching quality of the course
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结果 (英语) 2:[复制]
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Machine learning course is the core basic course of the graduate students in the direction of artificial intelligence, and its teaching effect directly affects the quality of postgraduate follow-up study. By investigating and analyzing the problems in the current teaching of machine learning courses, this paper puts forward the reform and practice of teaching mode of the course from the aspects of rational arrangement of teaching content, reform of teaching methods and improvement of examination methods, advocates problem-driven teaching methods and shared teaching methods, and makes use of abundant network teaching resources to expand the traditional classroom teaching model into multi-channel, multi-form seminar-type, inquiry-based interactive teaching mode. It is hoped that the teaching quality of this course can be effectively improved. ...
正在翻译中..
结果 (英语) 3:[复制]
复制成功!
Machine learning course is the core basic course of artificial intelligence graduate students, and its teaching effect directly affects the quality of Postgraduates' follow-up learning. Based on the investigation and analysis of the problems existing in the teaching of machine learning course, this paper puts forward the reform and practice of the teaching mode of machine learning course from the aspects of reasonable arrangement of teaching content, reform of teaching method and improvement of assessment method, advocates problem driven teaching method and sharing teaching method, and uses rich network teaching resources to expand the traditional classroom teaching mode to The interactive teaching mode of multi-channel and multi form discussion and inquiry. It is hoped that the teaching quality of the course can be effectively improved
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