1st AD @USF 附面经

2星期出结果，2000小奖，面试很常规，基本和地里的面经一致
1. Why USF among so many MSDS programs?
2. Python codes: 1 for list and 1 for dict, basic for loop, enumerate() and pop() not involved,
3. Explain linear independence
4. Eigenvalue and eigenvector and how to compute them.
5. Practical use of eigenvalue and eigenvector
6. Salary distribution of a country, mean and median
7. No. of TV and life expectancy, positively correlated, tv makes life longer?
8. Supervised and unsupervised learning(应该是因为我回答第一个问题的时候提到了，就顺便问了，感觉之前面经也没有，不在题库)
9. Career plans
10. 被问了为什么GPA比较低。。工作党努力回忆，很尴尬
11. Your questions

同等的UVA, UCI应该不会考虑了，应该会等西北&哥大结果