Data Lakes and K-nearest Neighbors - Data Science Current

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Data Lakes

K-nearest Neighbors

Data mining

Dataconomy

MARCH 4, 2025

Each stage is crucial for deriving meaningful insights from data. Data gathering The first step is gathering relevant data from various sources. This could include data warehouses, data lakes, or even external datasets.

Data Mining

Data Mining Data Mining Data Mining Decision Trees

Retrieval-Augmented Generation with LangChain, Amazon SageMaker JumpStart, and MongoDB Atlas semantic search

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

K-nearest Neighbors AWS Clustering Database

AWS empowers sales teams using generative AI solution built on Amazon Bedrock

AWS Machine Learning Blog

AUGUST 26, 2024

You can integrate existing data from AWS data lakes, Amazon Simple Storage Service (Amazon S3) buckets, or Amazon Relational Database Service (Amazon RDS) instances with services such as Amazon Bedrock and Amazon Q.

AWS

AWS AI AI K-nearest Neighbors

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Data mining

Retrieval-Augmented Generation with LangChain, Amazon SageMaker JumpStart, and MongoDB Atlas semantic search

AWS empowers sales teams using generative AI solution built on Amazon Bedrock

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