grokking-algorithms/chapter12/README.md
2024-01-19 17:21:42 +00:00

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K-Nearest Neighbours

Useful for classification, regression and feature extraction. By examining a data point against its K nearest neighbours we can:

  • categorize into a group
  • predict responses
  • convert the item into a list of features

A good starting point for machine learning.