- Instructors: Prof. Xipeng Qiu, Prof. Yugang Jiang
- TAs: Zhengfu He (Email: zfhe19@fudan.edu.cn), Peiji Li (Email: 20307140044@fudan.edu.cn), Junhao Shi (Email: 20307140008@fudan.edu.cn)
- Time: Monday 6:30 pm - 9:05 pm
- Venue: HGX 209 / Online
- Prerequisites: College Calculus, Linear Algebra, Probability and Statistics, Numerical Optimization and Python Programming
- TextBooks:
- Grading: 3 assignments with a total 60% weight, and a 40% final project.
- Previous Years: Spring 2023 / Spring 2022 / Spring 2021 / Spring 2020 / Spring 2019
Programming practice is an important part of this course. You need to practice to help you better understand the content of the course, and use what you learn to solve problems in the real world. We have carefully prepared some assignments for you, we believe these assignments will help you lay a solid foundation for machine learning and deep learning.
Late Policy: Everyone of you have 2 free late days for this semester. You can only use the late days for your assignments but not for the final project report. Once you have exhausted your free late days, we will deduct a late penalty of 25% per additional late day.
Submission: Refer to here for submission details.
- Learn more about optimization and generalization
- Play with real-world tabular dataset
- Impementing your own Sklearn-like ML library