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. Learning to Rank (LTR) and Re-Ranking: Uses ML models (e.g.,

AWS 119

AWS Clustering Deep Learning Deep Learning 119

AWS Machine Learning Blog

APRIL 5, 2023

Amazon SageMaker Serverless Inference is a purpose-built inference service that makes it easy to deploy and scale machine learning (ML) models. For demo purposes, we use approximately 1,600 products. We use the first metadata file in this demo. We use a pretrained ResNet-50 (RN50) model in this demo.

ML 117

ML ML AWS K-nearest Neighbors 117

AWS Machine Learning Blog

DECEMBER 6, 2023

Another driver behind RAG’s popularity is its ease of implementation and the existence of mature vector search solutions, such as those offered by Amazon Kendra (see Amazon Kendra launches Retrieval API ) and Amazon OpenSearch Service (see k-Nearest Neighbor (k-NN) search in Amazon OpenSearch Service ), among others.

SQL 132

SQL AWS Analytics Analytics 132

AWS Machine Learning Blog

SEPTEMBER 25, 2024

Testing the Streamlit app in a SageMaker environment is intended for a temporary demo. find_similar_items performs semantic search using the k-nearest neighbors (kNN) algorithm on the input image prompt. In the demo, we use the luxury brand and the fast fashion brand, each with its own preferences and guidelines.

AWS 97

AWS K-nearest Neighbors ML ML 97

Mlearning.ai

MAY 23, 2023

How to perform Face Recognition using KNN So in this blog, we will see how we can perform Face Recognition using KNN (K-Nearest Neighbors Algorithm) and Haar cascades. Check out the demo here… [link] 21. Check out the demo here… [link] 24. Check out the demo here… [link] 25. This is a simple project.

Machine Learning 52

Machine Learning Machine Learning K-nearest Neighbors Python 52

Mlearning.ai

MAY 21, 2023

How to perform Face Recognition using KNN So in this blog, we will see how we can perform Face Recognition using KNN (K-Nearest Neighbors Algorithm) and Haar cascades. Check out the demo here… [link] 21. Check out the demo here… [link] 24. Check out the demo here… [link] 25. This is a simple project.

Machine Learning 52

Machine Learning Machine Learning Python K-nearest Neighbors 52

Snorkel AI

JANUARY 26, 2023

So, we propose to do this sort of K-nearest-neighbors-type extension per source in the embedding space. If I could try to read it back to you quickly: take a canonical ML problem. You can register for a live demo of Snorkel Flow on February 16 which will feature the platform’s new FM capabilities.

K-nearest Neighbors 52

K-nearest Neighbors Clustering Computer Science Computer Science 52