Key La fMoeiveDprmentof Ch 机器学习的类型 Unsupervised Learning(无监督学习 No labels are given to the learning algorithm,leaving it on its own to find structure in its input.Unsupervised learning can be a goal in itself (discovering hidden patterns in data)or a means towards an end (feature learning). No outcome variable,just a set of predictors(features)measured on a set of samples. objective is more fuzzy find groups of samples that behave similarly find features that behave similarly Find linear combinations of features with the most variation. difficult to know how well your are doing different from supervised learning,but can be useful as a pre- processing step for supervised learning 振华制 数理统计在化学中的应用 10 造李 振 华 制 造 机器学习的类型  Unsupervised Learning （无监督学习）  No labels are given to the learning algorithm, leaving it on its own to find structure in its input. Unsupervised learning can be a goal in itself (discovering hidden patterns in data) or a means towards an end (feature learning).  No outcome variable, just a set of predictors (features) measured on a set of samples.  objective is more fuzzy  find groups of samples that behave similarly  find features that behave similarly  Find linear combinations of features with the most variation.  difficult to know how well your are doing  different from supervised learning, but can be useful as a pre￾processing step for supervised learning 数理统计在化学中的应用 10