Practices of machine learning.
- Strategy
- Loss function => Cost function
- Experience Risk -> Expectation Risk
- Structural Risk = Experience Rist + Regularization
- k-fold cross validation
- feature standardization
- M.L Algorithm
- Linear
- Decision Tree
- Naive Bayes
- Support Vector Machine
- Clustering
- Neural Network => Deep Learning
- Ensemble Learning
- Reinforcement Learning
- Optimization
- Gradient descent
- Newton method
- Lagrange duality
- Kernel method
- Machine Learning in Action
- https://cuijiahua.com/blog/ml/