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A Gradient Boosted Decision Tree for classification on sparse data set like LibSVM without translating the data set into other formats like recordIO. The algorithm scales efficiently across multi-cores on a single AWS EC2 Instance out of the box.

Algorithm - Fulfilled on Amazon SageMaker

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The PPE Detector for Laboratory Safety - is a real-time computer vision model for identifying safety breaches and ensuring quality control policies in a laboratory or healthcare facilities. It is trained on the dataset manually selected and annotated by the VITechLab team. It works with live...

Model Package - Fulfilled on Amazon SageMaker


This solution empirically measures demand fulfillment potential of a geographical region through multi-criteria decision making and provides market attractiveness scores. The output will be scores (between 0-1) for each region. Higher score signifies higher demand fulfillment in a market. This can...

Model Package - Fulfilled on Amazon SageMaker

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  • Version 20.01b
  • Sold by CVEDIA

Detect and localize commercial airplanes from a variety of satellite angles with the CVEDIA Aether Geospatial Airplane Detector. This model performs from 60-90 degrees to provide comprehensive detection, and functions on low-resolution imagery. Military aircraft detection and fine grain...

Model Package - Fulfilled on Amazon SageMaker

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Prosper Insights & Analytics' propensity model predicts the probability that a U.S. adult consumer is a Walmart Clothing Shopper. Based on a set of basic demographics, the model identifies individuals likely to shop at Walmart for Clothing. The model was trained with data from Prosper's large...

Model Package - Fulfilled on Amazon SageMaker

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Using predictive modeling and machine learning techniques, CARE™ Disease Prediction analyzes more than 14 billion medical claims to identify early indicators of disease for local markets and disease onset across the United States. These predictions give you the information you need to plan outreach...

Model Package - Fulfilled on Amazon SageMaker


A bearing is a machine element that constrains relative motion to only the desired motion, and reduces friction between moving parts. There are many types of bearings, each used for different purposes such as ball bearings, roller bearings, ball thrust bearings, roller thrust bearings and tapered...

Model Package - Fulfilled on Amazon SageMaker


ClosedLoop's end to end machine learning platform allows users to go from raw, messy EHR, claims, labs, SDoH, device, and other patient linkable data streams to production deployed predictive models in just 24 hours. The predicted outcome is the probability that person’s healthcare costs in the...

Model Package - Fulfilled on Amazon SageMaker

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Expert Identifier is machine learning based model that uses information present in any incident/ticket management data such as: Ticket ID, Ticket Solver Id, Ticket Priority, Ticket Category, Ticket Submission and Resolved date and identifies the right expert to be assigned to a specific ticket or...

Model Package - Fulfilled on Amazon SageMaker

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Using predictive modeling and machine learning techniques, CARE™ Disease Prediction analyzes more than 14 billion medical claims to identify early indicators of disease for local markets and disease onset across the United States. These predictions give you the information you need to plan outreach...

Model Package - Fulfilled on Amazon SageMaker