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.
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.
Explanation:
The Google Cloud Professional Machine Learning Engineer is uniquely positioned to understand both the technical and business aspects of machine learning projects. They are responsible for translating business problems into machine learning tasks, selecting appropriate problem types (e.g., classification for predicting churn), and ensuring the solution is deployable within the specified platform (Google Cloud Platform) and meets budget and interpretability requirements. While Data Scientists are involved in model development, their focus is more on the technical implementation rather than the holistic selection of problem types aligned with business objectives. Data Analysts and Database Administrators do not typically engage in selecting machine learning problem types.