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  • Training Pipeline
  • Training Data
  • Training-Inference Skew
  • Time travel (for features)
  • Types of Machine Learning
  • Two-Tower Embedding Model
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Transformation

What is a transformation in ML?

A transformation is a function that is applied to some input data and produces processed data as output, such as a feature in a feature pipeline. In feature pipelines, you have model-independent transformations, while in training/inference pipelines you can find model-dependent transformations.

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