Program website: https://gep.nd.edu/find-a-program/customized-programs/dsml/

Curriculum overview: The course will introduce a set of most popular statistical methods in data science and machine learning for various tasks, such as classification and regression. These will include very modern techniques such as ensemble tree-based methods (including bagging, random forests, boosting such as gbm and xgboost, etc.) and neural networks, and also some ever-popular classical techniques. Students will learn not only what the methods are, how they work, why they work, but also how to code and use them in real data. In course projects, students will have chances to apply these methods in real datasets and identify/tune-up/develop the best model. Working on these challenging real datasets will be a great research experience for the students.

100% online and live classes with Notre Dame full and tenured professor in Applied and Computational Mathematics and Statistics (ACMS)

Timeline: 15 days of classes. Monday, January 17 - Friday, February 11, 2022. No classes on weekends or the entire week of February 1, 2022 as Chinese New Year break.

Classes in the mornings and workshops/seminars in the evenings of China time.

Application deadline: January 1, 2022

Program price: $1500

Any questions can be directed to globalprograms@nd.edu

 

注：以上项目为国际合作部代转项目，请申请人申请前仔细阅读并核实项目信息，根据自身实际情况及在北大学业完成情况自行向对方院校直接提交材料、提出申请。一旦申请成功，请注意出行安全，购买在外期间保险并遵守当地法律法规及学校规章制度。

受疫情影响，截至出发前交流项目可能随时变动或取消，部分海外院校交流形式或变更为远程线上教学。