| algorithems |
Mathematics |
| Bias classifier |
random variable,Bias formula,Independence of random variables,Normal distribution,Maximum likelihood estimation |
| decision tree |
probability,entropy,Gini coefficient |
| KNN algorithems |
distance function |
| Main component analysis |
Covariance Matrix,Scatter Matrix, |
| manifold learning |
manifold,optimisation，Geodesic line,Geodesic distance,chart,Eigenvalue and Characteristic matrix |
| SVM |
The distance from the point to the plane,Slater condition,Strong Dual, |
| logistic |
probality,Discrete random variable,lagrange duality,KKT condition,Convex optimization,kernel function,Mercer Condition |
| logistic |
probability,random variable,Maximum likelihood estimation,Gradient descent method,Convex optimization,Newton method |
| Random Forest |
sampling,variance |
| AdaBoolslt algorithm |
probability,Random variance,extreme value theory,Mathematical expectation,Newton method |
| Hidden Markov model |
probability,Discrete random variable, |