K-Nearest Neighbors in Racket: An Introduction to Basic Machine Learning
Published:Jun 6, 2013 15:29
•1 min read
•Hacker News
Analysis
The article's value depends entirely on its execution. If well-written, it offers a practical introduction to KNN using Racket, potentially beneficial for those learning both.
Key Takeaways
- •Provides an introduction to the K-Nearest Neighbors algorithm.
- •Demonstrates the implementation of KNN in the Racket programming language.
- •Potentially suitable for beginners interested in machine learning and functional programming.
Reference
“The article discusses the implementation of K-Nearest Neighbor.”