Which ONE of the following activities is MOST relevant when addressing the scenario where you have more than the required amount of data available for the training?

The correct answer is B. Data sampling. Data sampling involves selecting a representative subset of the data for training. When there is more data than needed, sampling can be used to create a manageable dataset that maintains the statistical properties of the full dataset.

Machine Learning (ML)

Question

Options

AFeature selection
BData sampling
CData labeling
DData augmentation

How the community answered

(28 responses)

A
4% (1)
B
79% (22)
C
14% (4)
D
4% (1)

Explanation

Data sampling involves selecting a representative subset of the data for training. When there is more data than needed, sampling can be used to create a manageable dataset that maintains the statistical properties of the full dataset.

Topics

#data sampling#training data#data management#data augmentation

Community Discussion

No community discussion yet for this question.

Full CT-AI Practice