Biases in ML Part 2: Biases within the Different Phases of the Pipeline

Understanding machine learning involves mastering its essential phases, from data preparation in pre-processing to algorithm application in in-processing, and refining results in post-processing. Part 2 of this series delves into these stages, exploring how biases emerge throughout the process and potential mitigation strategies.

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