Instruction: Define both concepts and explain how deep learning differs from traditional machine learning approaches.
Context: This question seeks to clarify the candidate's understanding of the relationship and distinctions between machine learning and its subset, deep learning.
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The way I'd explain it in an interview is this: Deep learning is a subset of machine learning. Machine learning is the broader field of models that learn patterns from data, while deep learning refers specifically to multilayer neural networks that learn hierarchical representations, often from raw or...
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