RUOCHI.AI

05-14

KNN with KDtree

05-14

AdaBoost Summary

05-11

Overfitting in decision trees

05-03

Logistic Regression and Maximum likelihood estimation

05-02

Kernel method

05-01

Coordinate descent for lasso

05-01

The difference between Lasso and Ridge regularization

04-20

3 sources of error

03-29

Structuring Machine Learning Projects

03-20

Machine Learning Yarning(part two)