A collection of notebooks on artificial intelligence, with a focus on deep learning and data engineering.
-
Updated
Jun 12, 2022 - Jupyter Notebook
A collection of notebooks on artificial intelligence, with a focus on deep learning and data engineering.
This repository explores two optimization algorithms: the Traveling Salesman Problem (TSP) and Nearest Neighbor Search (NNS). It features Jupyter notebooks implementing brute-force solutions to both problems, utilizing Euclidean distance calculations and path visualizations. Ideal for learning about algorithm efficiency and optimization techniques.
Iconographic Visualization Inside Computational Notebooks
Add a description, image, and links to the nearest-neighbor-search topic page so that developers can more easily learn about it.
To associate your repository with the nearest-neighbor-search topic, visit your repo's landing page and select "manage topics."