- 線性模型，linear model
- 非線性模型，nonlinear model
- 可解釋性，comprehensibility
- 線性迴歸，linear regression
- 序，order
- 歐氏距離，euclidean distance
- 最小二乘法，least square method
- 參數估計，parameter estimation
- 閉式（closed form）解
- 多元線性迴歸，multivariate linear regression
- 滿秩矩陣，full rank matrix
- 正定矩陣，positive definite matrix
- 正則化，regularization
- 對數線性迴歸，log-linear regression
- 廣義線性模型，generalized linear method
- 聯繫函數，link function
- 單位階躍函數，unit step function
- 替代函數，surrogate function
- 對數機率函數，logistic function
- 機率，odds
- 對數機率，log odds，簡稱logit
- 對數機率迴歸，logistic regression，logit regression
- 極大似然法，maximum likelihood method
- 梯度下降法，gradient descent method
- 牛頓法，newton method
- 線性判別分析LDA，linear discriminant analysis
- 類內散度矩陣，within-class scatter matrix
- 類間散度矩陣，between-class scatter matrix
- 類別不平衡，class-imbalance
- 再縮放，rescaling
- 欠採樣，undersampling
- 過採樣，oversampling
- 閾值移動，threshold-moving
- 代價敏感學習，cost-sensitive learning
- 稀疏表示，sparse representation
- 稀疏性，sparsity
- 誤分類代價，misclssification cost
- 多標記學習，multi label learning
