Anthony Snell
Newbie
- Oct 10, 2026
- 11
- 0
AI, machine learning, and deep learning.
What is the difference between AI, machine learning, and deep learning?
- Thread starter Anthony Snell
- Start date
Anthony Snell
Newbie
- Oct 10, 2026
- 11
- 0
Thanks for the suggestion.
sunriselotus
Registered Member
- Jul 23, 2025
- 68
- 30
AI = artificial INTELLIGENCE
ML = it learns patterns from data to make predictions. (spam filter) human decides what to look at
DL = it DISCOVERS patterns from data to make predictions. humans do not always know how it figures out the patterns.
clean data use ml.
messy data use dl.
ML = it learns patterns from data to make predictions. (spam filter) human decides what to look at
DL = it DISCOVERS patterns from data to make predictions. humans do not always know how it figures out the patterns.
clean data use ml.
messy data use dl.
TheRialNick
Newbie
- Sep 19, 2026
- 29
- 6
Nothing lol
AI = Machine learning / algorithms
I think we should change the name to something else.
TheRialNick
Newbie
- Sep 19, 2026
- 29
- 6
AI literally does ML and DL
AI learns from patterns and tries to predict it
thats why we say "AI searches for the next best possible outcome" it tries to predict the data
Aislinn Parks
Junior Member
- Sep 23, 2023
- 105
- 11
AI is the broad concept of machines doing intelligent tasks. Machine learning is a part of AI that learns from data, while deep learning uses layered neural networks to learn complex patterns.
Good breakdown. One easy way to remember it: AI is the umbrella, ML is a subset of AI, and deep learning is a subset of ML. They overlap, but they're not interchangeable.
- Jul 6, 2024
- 93
- 6
A useful way to understand the relationship is as three nested categories. Artificial intelligence is the broad field of systems performing tasks associated with intelligence. Machine learning is one approach within AI, where models learn patterns from data. Deep learning is a subset of machine learning that uses multilayer neural networks.
For example, a rule-based chess program can be considered AI without necessarily using machine learning. An email spam classifier might use traditional machine learning, while modern image recognition often uses deep neural networks. The terms overlap but are not interchangeable.
For example, a rule-based chess program can be considered AI without necessarily using machine learning. An email spam classifier might use traditional machine learning, while modern image recognition often uses deep neural networks. The terms overlap but are not interchangeable.
joan henry
Junior Member
- Sep 18, 2023
- 102
- 8
In my opinion AI makes machines act smart, machine learning helps them learn from data, and deep learning helps them learn more complex things using neural networks. They're connected, but not exactly the same.
WeiChen1232
Newbie
- Jun 16, 2026
- 30
- 1
Indeed, the only best way to appreciate the difference between the two terms is that AI is simply the idea of creating intelligence on machines through programming while machine learning is simply one of the methods of achieving this through learning. deep learning goes even further since it deals with multiple layers of neural networks that facilitate learning of complex algorithms such as object detection and speech recognition in images. however the fact is that all forms of AI do not have to make use of machine learning since some of them can function through written instructions.
