- 线性模型，linear model
- 非线性模型，nonlinear model
- 可解释性，comprehensibility
- 线性回归，linear regression
- 序，order
- 欧氏距离，euclidean distance
- 最小二乘法，least square method
- 参数估计，parameter estimation
- 闭式（closed form）解
- 多元线性回归，multivariate linear regression
- 满秩矩阵，full rank matrix
- 正定矩阵，positive definite matrix
- 正则化，regularization
- 对数线性回归，log-linear regression
- 广义线性模型，generalized linear method
- 联系函数，link function
- 单位阶跃函数，unit step function
- 替代函数，surrogate function
- 对数机率函数，logistic function
- 机率，odds
- 对数机率，log odds，简称logit
- 对数机率回归，logistic regression，logit regression
- 极大似然法，maximum likelihood method
- 梯度下降法，gradient descent method
- 牛顿法，newton method
- 线性判别分析LDA，linear discriminant analysis
- 类内散度矩阵，within-class scatter matrix
- 类间散度矩阵，between-class scatter matrix
- 类别不平衡，class-imbalance
- 再缩放，rescaling
- 欠采样，undersampling
- 过采样，oversampling
- 阈值移动，threshold-moving
- 代价敏感学习，cost-sensitive learning
- 稀疏表示，sparse representation
- 稀疏性，sparsity
- 误分类代价，misclssification cost
- 多标记学习，multi label learning
