Applied Machine Learning
发布时间：2022-10-10
点击次数：
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 practical 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：Online
面向对象：International Master Student
授课教师：Zhongyi Hu
开课学年：2021-2022
开课学期：秋学期
课程号：12018001511040003
学分：2.0
课程类型：研究生课程
是否精品课程：否
选课人数：10
课时：32.0