How do neural networks differ from traditional machine learning algorithms?
The question is about Neural Networks
Answer:
Neural networks differ in their ability to learn directly from raw data without requiring extensive feature engineering. Traditional ML algorithms often rely on manual feature selection, while neural networks use layers and weights to automatically extract and model intricate patterns, making them suitable for unstructured data like images and text.
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