Instruction: Discuss the principles of Bayesian machine learning and how it differs from other approaches.
Context: This question assesses the candidate's knowledge of Bayesian statistics principles and their application in machine learning.
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The way I'd explain it in an interview is this: The Bayesian approach treats learning as updating beliefs in the presence of evidence. Instead of saying the model has one fixed best parameter value, you start with a prior belief about plausible parameter values, then...