Approaching the Issue of Data Drift Detection

September 8th 2021 new story

TL;DR

Data drift occurs when a model sees production data that differs from its training data. If a model is asked to make a prediction based upon drifted data, the model is unlikely to achieve its reported performance. This phenomenon happens because during training, a model attempts to learn the most pertinent features to the train dataset. The most important features of the training dataset, however, are not universal to all data. Modzy developed a statistical method of detecting drift between your data and a model’s training data.

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Tags

#modzy#artificial-intelligence#data-drift#data-drift-detection#neural-networks#model-training#data-science#good-company

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Approaching the Issue of Data Drift Detection
Source: Super Trending News PH