Stop 05 · Machine Learning FundamentalsTopics · 1/12

Supervised vs Unsupervised Learning

In short

Supervised learning trains on labeled data to predict outcomes; unsupervised learning finds structure in unlabeled data — the first fork in the road for choosing an ML approach.

How to learn this

1List five real-world problems and classify each as supervised, unsupervised, or unclear.
2Learn the sub-categories: classification/regression under supervised, clustering/dimensionality reduction under unsupervised.
3Understand semi-supervised and self-supervised learning as the bridge to modern deep learning.

More topics at this stop

Linear Regression Logistic Regression Decision Trees Random Forests K-Nearest Neighbors K-Means Clustering Support Vector Machines Naive Bayes scikit-learn Basics Train/Test Split Cross-Validation

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