How do AI, machine learning and deep learning relate?
Why D is the answer
Deep learning sits inside machine learning, inside AI
Each is a subset of the broader term.
In detail
- Each is a subset of the broader term.
- The terms nest.
Use case
An illustrative scenario, not a real incident.
A speech model uses deep learning, which is a kind of ML, which is a kind of AI.
See it in different ways
flowchart LR A["Artificial intelligence"] --> B["Machine learning"] B --> C["Deep learning"] C --> D["Generative AI"]
mindmap
root((AI))
Machine learning
Deep learning
Generative AI
Drivers
GPUs
Data
Algorithms
Stages
Training
Inferencemindmap
root(("AI"))
n1["Machine learning"]
n2["Deep learning"]Key point: Each field sits inside a broader one.
Why the other options are wrong
- A. They are three independent fields with no overlap
- They overlap.
- B. AI sits inside deep learning, which sits inside ML
- That reverses the order.
- C. Machine learning is another name for deep learning
- They are not the same.