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Artificial Intelligence Task

Sampling

Artificial Intelligence models are able to learn to sample a subset of data points from a larger dataset (usuarlly very large ones) to match one or many goals or criterias. The goal of sampling is to ensure that the selected data points are somehow meaningfully connected to the overall dataset, while also reducing the computational burden and time required to process large amounts of data.

Input

Large datasets or groups of ocurrences of many types

Output

A representative subset of the original data

Goal

To distill and reduce data without losing significant information

Learning Strategy

Feature extraction based on data type

Evaluation Metric

Sample representativeness, bias, variance, volume

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