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A financial model uses income and credit score data for predicting loan approval. The income data has values ranging from 20K to 500K, while the credit score data ranges from 300 to 850. What data preprocessing technique is required to handle these features?
A social media company wants to deploy a content moderation AI system. Before implementation, the company thoroughly identifies potential societal and reputational risks associated with false positives and censorship. What best describes this approach?
A telecommunications company wants to automatically categorize customer complaints into different topics using textual data. Which AI approach is best suited?
A dataset contains a feature with 100 categories, but only 5 samples are available for each category. What potential issue could arise when training a model on this dataset?
An autonomous drone adjusts its flight path in real time by receiving rewards for efficient navigation and penalties for collisions. Which learning paradigm does this exemplify?
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