Flipboard

NOVEMBER 17, 2023

Vector data is a type of data that represents a point in a high-dimensional space. This type of data is often used in ML and artificial intelligence applications. MongoDB Atlas Vector Search uses a technique called k-nearest neighbors (k-NN) to search for similar vectors.

K-nearest Neighbors 170

K-nearest Neighbors AWS Clustering Database 170

ODSC - Open Data Science

DECEMBER 14, 2023

Photo Mosaics with Nearest Neighbors: Machine Learning for Digital Art In this post, we focus on a color-matching strategy that is of particular interest to a data science or machine learning audience because it utilizes a K-nearest neighbors (KNN) modeling approach.

K-nearest Neighbors 97

K-nearest Neighbors AI AI Machine Learning 97

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. With over 15 years of experience, he supports customers globally in leveraging AI and ML for innovative solutions that capitalize on geospatial data.

Machine Learning 136

Machine Learning Machine Learning ML ML 136

AWS Machine Learning Blog

FEBRUARY 10, 2023

We design a K-Nearest Neighbors (KNN) classifier to automatically identify these plays and send them for expert review. Michael Chi is a Senior Director of Technology overseeing Next Gen Stats and Data Engineering at the National Football League. The results show that most of them were indeed labeled incorrectly.

ML 90

ML ML Machine Learning Machine Learning 90