1. I have been involved in a half-day project (Is there any improvement ideas for item-cf or something)
2. Asked which loss functions to understand (commonly used loss functions are sorted out that day), raised a mouthful of lr, and then asked the derivation of lr and the meaning of the loss function
3. How to improve the selection of k-Means k
4. Commonly used sampling methods. Comparison of oversampling and undersampling (to be sorted out, the answer is generally the commonly used sampling method)
5. Ask about map-reduce every day (I just made a course ...)
6. An understanding of FM, what are the optimized parts ()
8. Loss caused by data redundancy
9. Understanding of xgb and lgb
10. Hand-pulling a binary tree to determine whether the symmetry is non-recursive and then the method of calculating the variance of massive data
11. Let me ask him a few questions (pull the following internship arrangements, and then let him introduce the general business arrangements)