标签：ada cal ali ble ret gradient model efficient rest
目录
| The First Column | The Second Column |
|---|---|
| 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, |
| The First Column | The Second Column |
|---|---|
| scatter | [‘skaete]散开 |
| formular | [‘fo:rmjule]公式 |
| likelihood estimation | 似然估计 |
| entropy | [‘entrepi]熵 |
| covariance | 协方差 |
| manifold | 流行 |
| optimisation | 优化[optimai‘seition] |
| geodesics | [dgi:ou‘desics]测地线 |
| geodesic | [dgi:ou‘desik]测量的 |
| eigenvalue | [‘aidjen vaelju:]特征值 |
| discrete | 离散的，分布的 |
| logistic | 逻辑的[lo‘dgistik] |
| extreme value theory | 极值定理 |
| convex | 凸的[‘konveks] |
| Random Forest | sampling,variance |
| discrete | 分散的[di‘skrit] |
标签：ada cal ali ble ret gradient model efficient rest
原文地址：https://www.cnblogs.com/hugeng007/p/9380173.html
