#ml
24 notes
- Sample Space
- Dropout
- Weight Initialization
- Towards Byzantine-resilient Learning in Decentralized Systems
- Kernel Methods
- Navie Bayes
- Gaussian discriminant analysis
- Generative learning algorithm
- Discriminative learning algos
- Parametric algorithm
- Non-parametric algorithm
- LMS(Least Mean Squares)
- Generalized Linear Models
- Logistic Regression
- Linear Regression
- Supervised Learning
- Regularization
- Hinge Loss
- Softmax
- 多类支持向量机损失（SVM）
- Linear Classification
- Kullback-Leibler Divergence Explained
- Dual Gradient Descent
- Bayesian neural network