One of the things that we foresaw was __________.? data would explode|the dimensionality would explode|both data and the dimensionality of it would explode;|None of the above
One of the things that we foresaw was __________.? data would explode|the dimensionality would explode|both data and the dimensionality of it would explode;|None of the above
维度(Dimensionality)指数据集中的对象具有的属性个数。
维度(Dimensionality)指数据集中的对象具有的属性个数。
中国大学MOOC: Which statement best describes the task of “dimensionality reduction” in machine learning? 哪一个是机器学习中“降维”任务的正确描述?
中国大学MOOC: Which statement best describes the task of “dimensionality reduction” in machine learning? 哪一个是机器学习中“降维”任务的正确描述?
_________属于有监督学习(Supervised Learning)的任务。 A: 分类问题(Classification) B: 回归问题(Regression) C: 数据降维(Dimensionality Reduction) D: 聚类问题(Clustering)
_________属于有监督学习(Supervised Learning)的任务。 A: 分类问题(Classification) B: 回归问题(Regression) C: 数据降维(Dimensionality Reduction) D: 聚类问题(Clustering)
(0.1分)多选题 ( )属于有监督学习(Supervised Learning)的任务。 A: 数据降维(Dimensionality Reduction) B: 聚类问题(Clustering) C: 分类问题(Classification) D: 回归问题(Regression)
(0.1分)多选题 ( )属于有监督学习(Supervised Learning)的任务。 A: 数据降维(Dimensionality Reduction) B: 聚类问题(Clustering) C: 分类问题(Classification) D: 回归问题(Regression)
5._________属于有监督学习(Supervised Learning)的任务。 A: A.数据降维(Dimensionality Reduction) B: B.聚类问题(Clustering) C: C.分类问题(Classification) D: D.回归问题(Regression)
5._________属于有监督学习(Supervised Learning)的任务。 A: A.数据降维(Dimensionality Reduction) B: B.聚类问题(Clustering) C: C.分类问题(Classification) D: D.回归问题(Regression)