Introduction to Data Science

Instructor: 吴磊, leiwu@math.pku.edu.cn
Teaching Assistant: 韩洋, hanyang2019@pku.edu.cn
Time: 每周周一 3-4节 (10:10-12:00), 双周周四 1-2节 (8:00-9:50)
Location: 二教302
Office Hour: 周一晚上7:00 - 8:00 @ 理科一号楼 1555W
Outline: outline.txt
Lecture note: 每次课前由助教上传到北大教学网

Grading Polices

Assignment 60%
Final project 40%
- 10% presentation
- 30% report

Course project

Projects should be done in group of 2-3 with intention of exploring a particular problem in great detail. Specifically, you are asked to chooise a paper from this list (to be added) and write a review. The review should not only summarize the paper, but also identify the novelty and limitation of the result. A good paper review at least attempts to answer the following questions:

What is the main result of the paper?
Why is the result important and significant compared with existing work?
What is the limitation of the result?
What is the potential research direction inspired by the paper?

Reference Readings

Trevor Hastie, Robert Tibshirani, Jerome Friedman: The Elements of Statistical Learning: Data Mining, Inference, and Prediction
S. Shalev-Shwartz and S Ben-David, Understanding Machine Learning: From Theory to Algorithms.