How are AI, machine learning and deep learning related?
Why B is the answer
Deep learning is a subset of ML, which is a subset of AI
Each field sits inside the broader one. Generative AI commonly builds on deep learning.
In detail
- Deep learning sits inside ML, which sits inside AI.
- A chatbot built on fixed rules can be AI without being ML.
Use case
An illustrative scenario, not a real incident.
A photo classifier is deep learning, which is a kind of machine learning, which is a kind of AI.
See it in different ways
flowchart LR A["AI"] --> B["Machine learning"] B --> C["Deep learning"] C --> D["Generative AI"]
mindmap
root((Machine learning))
Supervised
Regression: a number
Classification: a label
Unsupervised
Clustering
Reinforcement
Learns from rewardsmindmap
root(("Artificial intelligence"))
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 separate fields with no overlap between them at all today
- They overlap.
- C. AI is a subset of deep learning, which is part of ML
- That reverses the order.
- D. Machine learning replaced AI when deep learning arrived
- None replaced another.