- implement and evaluate a multivariate regression
- understand the difference between statistics and machine learning
- understand the core concepts of machine learning (cross-validation, bias-variance trade-off etc.)
- train a random forest for machine learning tasks
- explain the difference between structured and unstructured data, and why neural nets excel in the later
- apply unsupervised machine learning methods
- perform data analysis on textual data by means of basic natural language processing
- all of the above tasks are to be implemented in python
课程内容及教学日历 (如授课语言以英文为主,则课程内容介绍可以用英文;如团队教学或模块教学,教学日历须注明
主讲人)
Course Contents (in Parts/Chapters/Sections/Weeks. Please notify name of instructor for course section(s), if
this is a team teaching or module course.)