Applied Machine Learning
发布时间：2019-11-07
点击次数：
对应教学计划：See attached Syllabus.
课程负责人：Zhongyi Hu
课程介绍：This class cover a hands-on approach to data analytics and machine learning. We will study commonly used machine learning techniques, including linear regression, logistic regression, KNN, neural networks, support vector machines, decision trees and ensemble learning. We will also discuss methods to address pracitical issues such as data preparation, model selection and evaluation. Apart from applying models, we will also discuss latest academic research and industry applications with MLs.
上课地点：Building 1, Campus of Humanities and Sciences, WHU
上课时间：Thursday, 18:45-20:50
考试形式：The final grade will be based on the following components:
• Weekly assignment - 20%
• Mini-project 1 - 20%
• Mini-project 2 - 20%
• Final report - 40%
面向对象：Master students
学科：管理科学与工程
授课教师：Zhongyi Hu
上课教室：209
开课学年：2018-2019
开课学期：秋学期
课程号：201800151
学分：2.0
课程类型：研究生课程
是否精品课程：是
课时：32.0
教材及参考书：www.datacamp.com