2025, K-nearest Neighbors and Natural Language Processing

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2025

K-nearest Neighbors

Natural Language Processing

Vector Databases 101: A Beginner’s Guide to Vector Search and Indexing

Towards AI

FEBRUARY 19, 2025

Last Updated on February 20, 2025 by Editorial Team Author(s): Afaque Umer Originally published on Towards AI. These vectors are typically generated by machine learning models and enable fast similarity searches that power AI-driven applications like recommendation engines, image recognition, and natural language processing.

Database

Database K-nearest Neighbors Machine Learning Machine Learning

Build a Search Engine: Setting Up AWS OpenSearch

Flipboard

MAY 5, 2025

Vector and Semantic Search: Leverages machine learning-powered search techniques, including k-NN (k-nearest neighbors) and dense vector embeddings, for applications like AI-driven search, recommendation systems, and similarity search. Stay tuned for the next post! What's next? We recommend PyImageSearch University.

AWS

AWS Clustering Deep Learning Deep Learning

Data Science Current

Vector Databases 101: A Beginner’s Guide to Vector Search and Indexing

Build a Search Engine: Setting Up AWS OpenSearch

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