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Machine Learning

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K-means clustering, finding groups nobody labeled
PCA, squashing many features into a few that matter
Ensembles, random forests, and boosting

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Machine Learning

Math Foundations4

Supervised Learning6

Training & Evaluation4

Unsupervised Learning & Ensembles3

K-means clustering, finding groups nobody labeled
PCA, squashing many features into a few that matter
Ensembles, random forests, and boosting

Neural Networks4

Tools & Practice6

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Ensembles, random forests, and boosting

Why combining many weak, imperfect models often beats any single strong one, using nothing more than averaging and voting.

10 min readUpdated 2026-09-03machine-learningensemblesrandom-forestboosting