Instruction: Define both learning strategies and discuss their differences.
Context: This question assesses the candidate's knowledge of different learning methodologies and their application contexts.
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The way I'd explain it in an interview is this: Batch learning trains the model on a collected dataset in larger training runs, usually offline. Online learning updates the model incrementally as new data arrives, either one example at a time or in very small batches. The main difference...