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Chapter 10: K Nearest Neighbors

This page is a generated reference surface for selective reading. It exists to keep the learner apps guide-first while preserving source references.

Learning objectives​

  • Explain the main ideas and vocabulary in K Nearest Neighbors.
  • Work through the source examples for K Nearest Neighbors without depending on raw chunk order.
  • Use K Nearest Neighbors as selective reference when learner modules point back to Grokking Algorithms.

Prerequisites​

  • Earlier prerequisite concepts leading into Chapter 10: K Nearest Neighbors.

Module targets​

  • module-01-algorithm-intuition

AI companion modes​

  • Explain simply
  • Socratic tutor
  • Quiz me
  • Challenge my understanding
  • Diagnose my confusion
  • Generate extra practice
  • Revision mode
  • Connect forward / backward

Source-of-truth note​

This unit is anchored to Grokking Algorithms and the source chapter "Chapter 10: K Nearest Neighbors". Use external resources only to clarify, extend, or modernize details without replacing the chapter's conceptual spine.

External enrichment​

No chapter-specific enrichment resources are curated yet. Add them in the unit manifest when a source clearly improves learning.

Source provenance​

  • Primary source: Grokking Algorithms
  • Source chapter 10: Chapter 10: K Nearest Neighbors
  • Raw source file: 035-10-10-k-nearest-neighbors.md
  • Raw source file: 036-10-regression-ocr.md

Source access​

Source text is private. Use the original book alongside the teaching guide above.