AI Terminology Course
AI Terminology
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Beginner

Supervised Learning

Definition

A Machine Learning approach where the model is trained on a labeled dataset. The algorithm learns by mapping input data to the known, correct output.

Explain Like I'm New

Learning with an answer key. You show the computer 1,000 pictures and explicitly tell it 'This is a cat' or 'This is a dog'. The computer learns the difference. When you show it a new picture, it guesses based on what it learned from the answer key.

Real World Example

Email Spam Filters. Developers feed the algorithm millions of emails explicitly tagged as 'Spam' or 'Not Spam'. The model learns the keywords (like 'Free Money') associated with the 'Spam' label.

Common Use Cases

  • •Classification
  • •Regression
  • •Image recognition

Interview Questions

basic

  • In Supervised Learning, does the training data contain the correct answers (labels)?

intermediate

  • What is the difference between Classification and Regression in Supervised Learning?

Flash Cards

Question

Contain correct answers?

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Answer

Yes. The presence of known 'labels' (the answer key) is the defining characteristic of Supervised Learning.

Question

Classification vs Regression?

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Answer

Classification predicts a category (e.g., 'Is this tumor malignant or benign?'). Regression predicts a continuous numerical value (e.g., 'What will the price of this house be?').