Machine learning meaning
The machine learning meaning is this: instead of writing rules into a program, you give it examples and it works out the rule itself. Most of today's AI tools are built this way.
The machine learning meaning in one example
In classic programming a developer writes the rule: if this is true, do that. In machine learning you supply many examples instead, and the program finds the pattern that explains them.
That is why it works on tasks nobody can write rules for. No one can state precisely what makes an image a cat, but anyone can supply a million examples.
Machine learning and artificial intelligence
Artificial intelligence is the umbrella term, machine learning is one method of getting there, and today's language models use one branch of it.
Everyday language calls all three AI. That rarely causes trouble in practice, but it helps to know they are not synonyms once you start reading documentation.
Where you already use it
Spam filtering, recommendations, route planning, fraud detection, the photo processing in your phone, predictive text. All machine learning, all from long before chatbots.
Which is the best argument that the idea is not new. What is new is that it now works this well on text.
Common questions
What is the machine learning meaning in one sentence?
Getting a program to work out the rule from examples, instead of a developer writing the rule into it.
Is machine learning the same as AI?
No. AI is the broader idea and machine learning is one route to it. There is AI that does not learn at all and only follows rules.
Do you need maths for machine learning?
To build it, yes. To use the tools well, or to understand why a model gets things wrong, understanding the logic is enough.