《机器学习》课程建设的探索

Exploration of the Machine Learning Course Construction

摘要: 针对“机器学习”课程涉及基础理论学科较多，教学过程中理论与实践融合度不够等问题，本文以突出实践应用，培养学生自主学习能力和探索创新能力为目标，提出了构建适合多层级学生的基础知识理论的框架设计思路，采用框架式、启发式和探索式教学等多种理论与实践相结合的教学手段，以及全过程的考核方式，对机器学习课程建设进行了多角度的探索。这有利于培养学生运用数学基础理论和人工智能方法对实际问题进行分析研究的能力，提升学生定量分析、数学建模和自主学习的能力。

Abstract: This study highlights the practical application for the problems of “machine learning” courses in-volving many basic theoretical subjects and insufficient integration of theory and practice in the teaching process. It cultivates students’ independent learning, exploration, and innovation abili-ties. The basic knowledge theory frame design is suitably put forward for multi-level students. Frame, heuristic, and experimental teaching methods are adopted to combine theory with practice. Moreover, the machine learning course construction is explored from many angles using the whole assessment process. It is beneficial to cultivate students’ abilities to analyze and research practical problems by applying fundamental mathematical theories and artificial intelligence methods. It improves students’ ability in quantitative analysis, building mathematical models, and independent learning.