Microsoft Azure AI Fundamentals AI-900 Practice Question
An online retailer wants to group its customers into distinct segments based on their purchasing behavior and website interactions to personalize marketing efforts.
Which type of machine learning technique is most appropriate for this task?
Clustering is the most suitable technique for this scenario because it involves grouping data points based on similarities without predefined labels. This unsupervised learning method helps identify natural groupings within the customer data, enabling the retailer to tailor marketing strategies for each segment.
Regression and classification are supervised learning techniques used for prediction and classification tasks with labeled data, while reinforcement learning is used for training agents through rewards and penalties. None of these are appropriate for discovering inherent groupings in unlabeled data.
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Microsoft Azure AI Fundamentals AI-900
Describe Fundamental Principles of Machine Learning on Azure
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