What is Machine Learning Artifact

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Artifact in Archaeology

In Archaeology, Artifact is every object created or given shape by a human. For example, it can be a tool or a work of art.

Jar – Artifact Created by a Human

Artifact in Machine Learning

In Machine Learning, Artifact is a term used to describe an output of a process. It is every object created or given shape by a machine.

It is mostly used in a Machine Learning Pipeline where we have processes that are executed one after the other.

For example, in a process of Data preprocessing, artifact is a preprocessed dataset. In a process of a Model training, artifact is a model and so on and so forth. These artifacts (outputs) may be used as inputs for the next process.

Neural Network – Artifact Created by a Machine

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References and Image Sources

  1. Artifacts (no date) National Geographic Society. Available at: https://education.nationalgeographic.org/resource/artifacts (Accessed: October 16, 2022).
  2. Artifact (archaeology) (2022) Wikipedia. Wikimedia Foundation. Available at: https://en.wikipedia.org/wiki/Artifact_(archaeology) (Accessed: October 16, 2022).
  3. Image source: https://upload.wikimedia.org/wikipedia/commons/thumb/6/64/Mycenaean_stirrup_vase_Louvre_AO19201.jpg/220px-Mycenaean_stirrup_vase_Louvre_AO19201.jpg
  4. Image source: https://victorzhou.com/media/nn-series/network.svg

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