What is a label in supervised learning?
PICTURE THIS: SUPERVISED LEARNING
Simple meaning
The target we want to predict for each example.
WHY — ML Basics instead of guessing?
Why interviewers care about ML Basics:
people who only read docs from people who shipped.
and tied to AI / ML work.
Name the idea, why it exists, then one short example.
End with when you use it and one common pitfall.
STEPS — What happens step by step?
Before you speak the answer, walk the interviewer through these steps:
- 1The target we want
to predict for each example.
- 2Why it exists
Without labels it is unsupervised.
- 3How it works
Quality labels beat fancy models.
- 4Give an example
One tiny concrete case you can say aloud.
- 5Common mistake
What juniors usually get wrong.
- 6Close
When you pick this over the alternative.
EXAMPLE — See it in action
Here's a short line you can speak, broken into clear beats:
Note: Adapt this scaffold to your own project — keep it under 60–90 seconds.
Key takeaway
The target we want to predict for each example. Without labels it is unsupervised.