课程名称
（Course Name）

机器学习

Machine Learning

学分（Credits）

3

学时（Credit Hours）

48

学时分配

理论教学 42 学时；实验 6 学时；实践 0 学时；线上 0 学时

授课对象（Audience）

大数据管理与应用专业（许国志大数据英才班）、管理科学专业、经济学基地班、经济学专业等必修；投资学专业、国民经济管理、信息学院、外国语学院等部分专业选修

授课语言(Language)

全汉语

先修课程

（Prerequisite）

概率论与数理统计、高等数学、线性代数、Python程序设计（课堂上会补充相关知识）

授课教师（Instructor）

李国文、唐昕迪

课程网址

（Course Webpage）

课程类型（Type）

理论课

课程归属（Category）

专业教育-大数据管理与应用

（课程简介英文版）

Machine Learning (ML) is a core component of Artificial Intelligence (AI). Machine Learning programs are dedicated to the study of how computers can learn from data and make intelligent decisions. With the advent of the big data era and the significant increase in computing power, the application of machine learning in various fields of society has become more and more widespread. The purpose of the Machine Learning course is to develop students' ability to understand and master machine learning algorithms and models, to analyze and process data, and to apply these techniques to real-world problems.

After taking this course, students will master the classical machine learning algorithms, as well as master the ability to learn more algorithms, and possess the ability to further utilize the technologies related to the field of artificial intelligence to solve real-world problems.

课程目标（Course Objectives）