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Interactive Learning
Explore instance-based learning. K-Nearest Neighbors is a beginner machine learning algorithm used for finding optimal decision boundaries. Before learning K-Nearest Neighbors, you should understand: vectors-basics. Real-world applications include: Recommendation systems, Image recognition, Anomaly detection. This is a foundational concept suitable for beginners.
Recommendation systems
Image recognition
Anomaly detection
Interactive lesson with visualizations and practice problems
Part of the K-Nearest Neighbors lesson in Machine Learning