What are the differences between AI, ML, and Deep Learning?

Artificial intelligence (AI), machine learning (ML), and deep learning are interconnected fields but they differ in their core concepts and applications. AI refers to the broader concept of creating intelligent machines that can mimic human intelligence. It encompasses multiple techniques, with ML being one of them. ML involves systems that can learn and improve from experience without being explicitly programmed. It uses algorithms to analyze data, identify patterns, and make decisions or predictions. Deep learning, on the other hand, is a subset of ML that utilizes specific neural networks to process information and extract features. It relies on deep artificial neural networks to automatically learn and understand complex patterns and representations. In summary, AI is the overarching field, ML is a subset that focuses on learning, and deep learning is a subset of ML that emphasizes on specific neural network architectures.

This mind map was published on 20 August 2023 and has been viewed 121 times.