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1 year ago in Machine Learning By Jyoti

What is the difference between Machine Learning and Deep Learning?

What fundamentally distinguishes Deep Learning, with its multi-layered neural networks, from traditional Machine Learning algorithms in approach and capability?

DeepLearning

All Answers (1 Answers In All)

By Aarthi S Answered 8 months ago

Machine Learning (ML) is a broad field where algorithms learn patterns from data to make predictions or decisions. Deep Learning (DL) is a specialized subset of ML that uses artificial neural networks with many layers ("deep" architectures). Key differences: DL automatically learns hierarchical feature representations from raw data (e.g., pixels), while traditional ML often requires manual feature engineering. DL typically needs much larger datasets and more computation but excels in complex domains like vision and language.

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