PyImageSearch

DECEMBER 23, 2024

This lesson is the 1st in a 2-part series on Mastering Approximate Nearest Neighbor Search : Implementing Approximate Nearest Neighbor Search with KD-Trees (this tutorial) Approximate Nearest Neighbor with Locality Sensitive Hashing (LSH) To learn how to implement an approximate nearest neighbor search using KD-Tree , just keep reading.

K-nearest Neighbors 112

K-nearest Neighbors Algorithm Deep Learning Deep Learning 112

AWS Machine Learning Blog

APRIL 3, 2024

We detail the steps to use an Amazon Titan Multimodal Embeddings model to encode images and text into embeddings, ingest embeddings into an OpenSearch Service index, and query the index using the OpenSearch Service k-nearest neighbors (k-NN) functionality. You then display the top similar results.

K-nearest Neighbors 132

K-nearest Neighbors AWS Machine Learning Machine Learning 132

AWS Machine Learning Blog

SEPTEMBER 29, 2023

In this analysis, we use a K-nearest neighbors (KNN) model to conduct crop segmentation, and we compare these results with ground truth imagery on an agricultural region. This example uses the Python client to identify and download imagery needed for the analysis.

Machine Learning 135

Machine Learning Machine Learning ML ML 135

PyImageSearch

JUNE 19, 2023

K-Nearest Neighbor K-nearest neighbor (KNN) ( Figure 8 ) is an algorithm that can be used to find the closest points for a data point based on a distance measure (e.g., The item ratings of these -closest neighbors are then used to recommend items to the given user. And that’s exactly what I do.

K-nearest Neighbors 57

K-nearest Neighbors Clustering Algorithm Deep Learning 57

AWS Machine Learning Blog

APRIL 19, 2024

We perform a k-nearest neighbor (k-NN) search to retrieve the most relevant embeddings matching the user query. This notebook will download a publicly available slide deck , convert each slide into the JPG file format, and upload these to the S3 bucket. We run these notebooks one by one. I need numbers."

AWS 126

AWS ML ML Database 126

ODSC - Open Data Science

JANUARY 5, 2024

It is a library for array manipulation that has been downloaded hundreds of times per month and stands at over 25,000 stars on GitHub. Top Python Libraries of 2023 and 2024 NumPy NumPy is the gold standard for scientific computing in Python and is always considered amongst top Python libraries.

Python 52

Python K-nearest Neighbors Data Science Data Visualization 52

Flipboard

FEBRUARY 7, 2025

In most cases, you will use an OpenSearch Service vector database as a knowledge base, performing a k-nearest neighbor (k-NN) search to incorporate semantic information in the retrieval with vector embeddings. in Computer Science and Artificial Intelligence from Northwestern University.

Database 86

Database AWS Python ML 86