Employing clustering to group customers with similar purchasing behaviors - This is the correct answer. Clustering is an unsupervised machine learning technique used to discover patterns in data without predefined categories. It groups customers with similar purchasing behaviors, helping the retailer identify new customer segments for targeted marketing strategies.
Applying regression to predict future sales - Regression is used for predicting continuous numerical values, such as sales forecasts. While useful for predicting future outcomes, it does not uncover patterns or group customers based on their behaviors.
Using classification to assign customers to existing segments - Classification involves assigning data to predefined categories. It is not suitable for uncovering new patterns or segments, as it relies on labeled data rather than discovering new insights.
Implementing reinforcement learning to optimize marketing campaigns - Reinforcement learning is a technique that focuses on learning through trial and error, typically used for decision-making tasks and optimization. While useful in some marketing applications, it is not the best choice for uncovering patterns in customer data without predefined categories.
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Microsoft Azure AI Fundamentals AI-900
Describe Fundamental Principles of Machine Learning on Azure
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