Google Professional Machine Learning Engineer
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In the context of machine learning, identifying the correct problem framing is crucial for the success of a project. Given a scenario where a team is tasked with developing a system to automatically categorize and prioritize incoming customer support emails, which of the following options does NOT represent a common type of machine learning problem framing that could be considered for this task? Choose one correct option.
A
Supervised learning, where the system is trained on a dataset of emails previously categorized by human agents.
B
Unsupervised learning, where the system identifies patterns or groups in the emails without predefined categories.
C
Reinforcement learning, where the system learns to categorize emails through trial and error, receiving feedback on its accuracy.
D
Email management, which involves organizing and handling emails but does not inherently involve learning from data.