Supervised vs unsupervised learning

After this lesson you can: Decide which of the two a given problem is.

First: What machine learning actually is

Watch

• Machine Learning Basics: Supervised v Unsupervised - IBM Technology, 6 min. Short IBM explainer in English focused exactly on distinguishing supervised from unsupervised learning.
• Supervised vs. Unsupervised Learning - IBM Technology, 7 min. Focused seven-minute IBM overview matching the lesson, though language is unconfirmed.

Notes

Supervised learning means the training examples include the answer you want the model to learn. If you want to predict house prices, classify support tickets, or detect whether an email is spam, you train on past examples where the correct price, category, or spam label is already known. The model’s job is to learn a mapping from inputs to known outputs so it can make the same kind of prediction on new inputs.

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