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Statistics Questions
Assumptions of Machine Learning include data availability, feature relevance, and model interpretability.
Data availability is crucial for training machine learning models.
Assumptions about the relevance of features in the data must be made.
Model interpretability is important for understanding the decisions made by the machine learning model.
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