AWS Machine Learning Blog

NOVEMBER 9, 2023

Formally, often k-nearest neighbors (KNN) or approximate nearest neighbor (ANN) search is often used to find other snippets with similar semantics. In these two studies, commissioned by AWS, developers were asked to create a medical software application in Java that required use of their internal libraries.

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AWS Machine Learning Blog

JUNE 9, 2023

For example, Amazon GuardDuty , the native AWS threat detection service, uses a graph with billions of edges to improve the coverage and accuracy of its threat intelligence. To solve the problem of finding the field of study for any given paper, simply perform a k-nearest neighbor search on the embeddings.

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ML ML K-nearest Neighbors Machine Learning 103

Flipboard

FEBRUARY 7, 2025

You will execute scripts to create an AWS Identity and Access Management (IAM) role for invoking SageMaker, and a role for your user to create a connector to SageMaker. An AWS account You will need to be able to create an OpenSearch Service domain and two SageMaker endpoints. Python The code has been tested with Python version 3.13.

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Database AWS Python ML 86

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. Prior to AWS, he obtained his MCS from West Virginia University and worked as computer vision researcher at Midea. These plays could potentially be mislabeled and deserve manual inspection.

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ML ML Machine Learning Machine Learning 85

Snorkel AI

JANUARY 26, 2023

I am a PhD student in the computer science department at Stanford, advised by Chris Ré working on some broad themes of understanding data-centric AI, weak supervision and theoretical machine learning. So, we propose to do this sort of K-nearest-neighbors-type extension per source in the embedding space.

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K-nearest Neighbors Clustering Computer Science Computer Science 52

Snorkel AI

JANUARY 26, 2023

I am a PhD student in the computer science department at Stanford, advised by Chris Ré working on some broad themes of understanding data-centric AI, weak supervision and theoretical machine learning. So, we propose to do this sort of K-nearest-neighbors-type extension per source in the embedding space.

K-nearest Neighbors 52

K-nearest Neighbors Clustering Computer Science Computer Science 52

AWS Machine Learning Blog

FEBRUARY 25, 2025

The integration with Amazon Bedrock is achieved through the Boto3 Python module, which serves as an interface to the AWS, enabling seamless interaction with Amazon Bedrock and the deployment of the classification model. Take the first step in your generative AI transformationconnect with an AWS expert today to begin your journey.

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Algorithm Machine Learning Machine Learning K-nearest Neighbors 73