At the start of a training session, an instructor is organizing AI-related terminology. Which of the following correctly describes the containment relationship among AI (artificial intelligence), ML (machine learning), and deep learning? Think from the broadest concept to the narrowest.
A question on choosing the containment relationship among AI, ML, and deep learning.
Deep learning ⊃ machine learning ⊃ AI (deep learning is the broadest)
The containment relationship is reversed. Deep learning is a part of machine learning, and the broadest concept is AI.
Because the relationship is reversed, this is incorrect.
AI, machine learning, and deep learning all mean the same thing
The three form a nested containment relationship and do not mean the same thing.
Because this is mistaken, it is incorrect.
AI ⊃ machine learning ⊃ deep learning (AI is the broadest, deep learning the narrowest)
Correct. AI is the broadest concept, machine learning is a part of it, and deep learning is a part of machine learning — a nested containment relationship. Deep learning is one technique within machine learning.
Machine learning ⊃ AI ⊃ deep learning (machine learning is the broadest)
The broadest concept is AI, and machine learning is a part of AI.
Because the containment relationship is wrong, this is incorrect.
The correct answer is 'AI ⊃ machine learning ⊃ deep learning'.
・AI is the broadest concept (all technology that reproduces intelligent human behavior).
・Machine learning is a part of AI (techniques that learn from data).
・Deep learning is a part of machine learning (techniques that use multilayer neural networks).
'Deep learning is the broadest', 'all the same thing', and 'machine learning is the broadest' all mistake the containment relationship.