試験NCP-ADS トピック1 問題272 スレッド

A. Use numpy.mean() and numpy.std() to manually standardize the dataset before feeding it into the GPU.

B. Use cuml.PCA() to reduce the dimensionality of the dataset, which also standardizes feature variance.

C. Use cuml.MinMaxScaler() to scale the features to a range of [0,1] without adjusting for mean and variance.

D. Use cuml.StandardScaler() to transform the features to have a mean of zero and a standard deviation of one.