| ICML | 国际机器学习会议 | 
	
	| Identity matrix | 单位矩阵 | 
	
	| Image restoration | 图像复原 | 
	
	| Improved iterative scaling/IIS | 改进的迭代尺度法 | 
	
	| Incremental learning | 增量学习 | 
	
	| Independent and identically distributed/i.i.d. | 独立同分布 | 
	
	| Independent Component Analysis/ICA | 独立成分分析 | 
	
	| Independent subspace analysis | 独立子空间分析 | 
	
	| Indicator function | 指示函数 | 
	
	| Individual learner | 个体学习器 | 
	
	| Induction | 归纳 | 
	
	| Inductive bias | 归纳偏好 | 
	
	| Inductive learning | 归纳学习 | 
	
	| Inductive Logic Programming/ILP | 归纳逻辑程序设计 | 
	
	| Inequality constraint | 不等式约束 | 
	
	| Information entropy | 信息熵 | 
	
	| Information gain | 信息增益 | 
	
	| Input layer | 输入层 | 
	
	| Insensitive loss | 不敏感损失 | 
	
	| Inter-cluster similarity | 簇间相似度 | 
	
	| International Conference for Machine Learning/ICML | 国际机器学习大会 | 
	
	| Intra-cluster similarity | 簇内相似度 | 
	
	| Intrinsic value | 固有值 | 
	
	| Invariance | 不变性 | 
	
	| Invert | 求逆 | 
	
	| Isometric Mapping/Isomap | 等度量映射 | 
	
	| Isotonic regression | 等分回归 | 
	
	| Iterative Dichotomiser | 迭代二分器 |