What is the relationship between AI, machine learning, and deep learning?

What is the relationship between AI, machine learning, and deep learning?

• A. ML is a set of algorithms for AI tasks; DL is a subset of ML using deep neural networks.
• B. ML and DL are identical; AI is broader.
• C. DL is the entire field of AI; ML is a subfield of DL.
• D. AI is a subset of ML and DL.

Answer: (A)

AI is the broad field of creating systems that can perform tasks that require intelligent behavior. Within that, machine learning refers to methods that learn from data to improve performance without being explicitly programmed for every scenario. Deep learning is a specialized subset of machine learning that uses deep neural networks—networks with many layers—to learn complex representations from large amounts of data. So the hierarchy is: AI contains ML, and ML contains DL. The described option captures this by saying ML is a set of algorithms for AI tasks and DL is a subset of ML using deep neural networks. The other choices misplace the relationships: ML and DL aren’t identical, DL isn’t the entire field of AI, and AI isn’t a subset of ML or DL.

AI is the broad field of creating systems that can perform tasks that require intelligent behavior. Within that, machine learning refers to methods that learn from data to improve performance without being explicitly programmed for every scenario. Deep learning is a specialized subset of machine learning that uses deep neural networks—networks with many layers—to learn complex representations from large amounts of data. So the hierarchy is: AI contains ML, and ML contains DL. The described option captures this by saying ML is a set of algorithms for AI tasks and DL is a subset of ML using deep neural networks. The other choices misplace the relationships: ML and DL aren’t identical, DL isn’t the entire field of AI, and AI isn’t a subset of ML or DL.