Time: 20,190,821
: Phone
Status: Machine Learning
one side:
Under 1. Introduce yourself
2. The specific implementation speaking under graduate program, and there is a lot of details buckle
Links and differences 3.SVM and Neural Networks
4.L1, L2 contrasts and links have been theoretical derivation
The treatment Unbalanced
6.GBDT and XGboost difference algorithm, detailed deducted xgboost
7. The links and differences between the decision trees, random forests and XGboost
8.kmeans advantages and disadvantages
9. risk control field to understand it? Learn what? Due to the small sister is a risk control team, asked a lot of knowledge of risk control, I want to go back Bubu wind control of things.
10. The handwriting had to derive neural networks do? (Programming), B do?
11. studied data structures and algorithms do? Brush off leetcode it?
12. Evaluation so what?
13. The evaluation recommended system
14. You talk about familiar classification algorithm?
15. What have you got to ask me?