Google Professional Machine Learning Engineer
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In the context of a Google Cloud Professional Machine Learning Engineer's role, a retail company aims to leverage machine learning to enhance its customer segmentation strategy. The company has a vast amount of customer data but is unsure about the best approach to define the machine learning problem. The primary goal is to improve marketing efficiency by accurately predicting customer segments. Given the scenario, which of the following is the PRIMARY responsibility of the Machine Learning Engineer in defining the machine learning problem? Choose the BEST option.
A
Data Preprocessing: Cleaning and transforming the customer data to improve its quality for machine learning models.
B
Building neural networks: Designing complex neural network architectures to model customer behaviors.
C
Deciding on the problem type: Identifying whether the problem is classification, regression, or clustering to align with the business objective of customer segmentation.
D
Selecting a cloud platform: Choosing the most cost-effective cloud platform for deploying the machine learning models.
E
Both A and C: Performing data preprocessing and deciding on the problem type are equally important in defining the machine learning problem.