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Google Professional Machine Learning Engineer

Google Professional Machine Learning Engineer

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In a project aimed at reducing customer churn for a telecommunications company, the team is tasked with identifying the most effective machine learning approach to predict which customers are likely to churn. The project has constraints including a tight budget, the need for interpretability of the model by non-technical stakeholders, and the requirement to deploy the model within Google Cloud Platform. Considering these constraints, which professional is primarily responsible for selecting the right machine learning problem type (e.g., classification, regression, clustering) to meet the specific business objectives? Choose one correct option.

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