Deep learning techniques utilize neural networks with multiple layers (deep neural networks) to automatically extract high-level features from raw data. This ability to perform automatic feature extraction eliminates the need for manual feature engineering, which is often required in traditional machine learning methods. The other options are incorrect because deep learning models typically require large datasets to perform effectively, they can process both structured and unstructured data, and they are generally less interpretable due to their complex architectures.
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Microsoft Azure AI Fundamentals AI-900
Describe Fundamental Principles of Machine Learning on Azure
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