Data Science Dojo

JULY 15, 2024

K-Nearest Neighbors (KNN): This method classifies a data point based on the majority class of its K nearest neighbors in the training data. These anomalies can signal potential errors, fraud, or critical events that require attention. Points far away from others are considered anomalies.

Machine Learning 307

Machine Learning Machine Learning Algorithm Clustering 307

AWS Machine Learning Blog

FEBRUARY 13, 2025

Amazon Simple Queue Service (Amazon SQS) Amazon SQS is used to queue events. It consumes one event at a time so it doesnt hit the rate limit of Cohere in Amazon Bedrock. The following image uses these embeddings to visualize how topics are clustered based on similarity and meaning. What are embeddings?

AWS 111

AWS K-nearest Neighbors Clustering Algorithm 111

AWS Machine Learning Blog

FEBRUARY 5, 2025

The listing writer microservice publishes listing change events to an Amazon Simple Notification Service (Amazon SNS) topic, which an Amazon Simple Queue Service (Amazon SQS) queue subscribes to. The cluster comprises 3 cluster manager nodes (m6g.xlarge.search instance) dedicated to manage cluster operations.

K-nearest Neighbors 82

K-nearest Neighbors Machine Learning Machine Learning Database 82

PyImageSearch

SEPTEMBER 16, 2024

Home Table of Contents Credit Card Fraud Detection Using Spectral Clustering Understanding Anomaly Detection: Concepts, Types and Algorithms What Is Anomaly Detection? Spectral clustering, a technique rooted in graph theory, offers a unique way to detect anomalies by transforming data into a graph and analyzing its spectral properties.

Clustering 55

Clustering Algorithm Machine Learning Machine Learning 55

IBM Journey to AI blog

DECEMBER 19, 2023

As organizations collect larger data sets with potential insights into business activity, detecting anomalous data, or outliers in these data sets, is essential in discovering inefficiencies, rare events, the root cause of issues, or opportunities for operational improvements. But what is an anomaly and why is detecting it important?

Machine Learning 82

Machine Learning Machine Learning Supervised Learning K-nearest Neighbors 82

Snorkel AI

APRIL 11, 2023

Cody Coleman, CEO and co-founder of Coactive AI gave a presentation entitled “Data Selection for Data-Centric AI: Quality over Quantity” at Snorkel AI’s Future of Data-Centric AI Event in August 2022. And effectively in the latent space, they form kind of tight clusters for these unseen concepts that are very well-connected components.

K-nearest Neighbors 52

K-nearest Neighbors Clustering Deep Learning Deep Learning 52

Snorkel AI

APRIL 11, 2023

Cody Coleman, CEO and co-founder of Coactive AI gave a presentation entitled “Data Selection for Data-Centric AI: Quality over Quantity” at Snorkel AI’s Future of Data-Centric AI Event in August 2022. And effectively in the latent space, they form kind of tight clusters for these unseen concepts that are very well-connected components.

K-nearest Neighbors 52

K-nearest Neighbors Clustering Deep Learning Deep Learning 52