A model is what the computer builds after studying — it's the "brain" it created from all the examples, ready to guess on new things.
Imagine it like this: After weeks of practicing free throws, your arm "learns" the right motion. That learned skill, stored in your muscles, is like a model — you built it by training, and you can now use it without thinking through every step.
Examples:
So? The model is the finished product of Machine Learning — once trained, it can quickly make guesses on brand-new things it has never seen before.