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We exploit the US census data, the Florida voting registration data, and the Wikipedia data, to predict race and ethnicity based on first and last name or just the last name. The granularity at which we predict the race depends on the dataset. For instance, Wikipedia data is at the ethnic group...

Model Package - Fulfilled on Amazon SageMaker

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Video Embeddings using Singular Value Decomposition (SVD) can be used for semantic search, dimentioanlity reduction, and anomaly detection. Give a batch of videos singular values and vectors are computed using these algorithms.

Algorithm - Fulfilled on Amazon SageMaker


Use NeoPulse® to build models for most types of machine learning problems including, but not limited to, sentiment analysis, object detection, object recognition, classification and regression. Novices and experts can easily create AI models, using custom data, with as little as 14 lines of code in...

Algorithm - Fulfilled on Amazon SageMaker


Aspect Based Employee Sentiment Analyzer identifies positive or negative sentiments in employee reviews for specific aspects. The aspects include career opportunities, compensation and benefits, work life balance, work culture, and leadership. It automates the manual effort to analyze employee...

Model Package - Fulfilled on Amazon SageMaker


Prosper Insights & Analytics' propensity model predicts the probability that a U.S. adult consumer uses Uber. Based on a set of basic demographics, the model identifies individuals who are likely to use the ride share service. The model was trained with data from Prosper's large Media Behaviors &...

Model Package - Fulfilled on Amazon SageMaker


Scanned documents sometimes can have pages with low contrast and low brightness. This can create challenges while processing of documents viz. OCR, ICR, Text extraction, image-based ML/AI modelling, etc. This solution incorporates statistical models which identify the contrast between background...

Model Package - Fulfilled on Amazon SageMaker

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  • Version 20.02
  • Sold by CVEDIA

The CVEDIA ACHOS Fallen Person Detector was built to detect accidents in work environments, warehouses, industrial locations, and public spaces. Built using proprietary CVEDIA synthetic technology, ACHOS is resilient to other potential scenarios, and provides coverage from a variety of...

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

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Vehicle accidents are a top 5 cause of workplace injuries. Jump start your ability to understand driving risk of your organization using Modjoul Automotive Telematics Model which helps convey driver behavior - aggressive events like hard braking and hard acceleration, duration of driving and...

Model Package - Fulfilled on Amazon SageMaker


DeepInsights Card Fraud Analyzer is a Deep-Learning powered classification solution that provides valuable insights from any data that is highly skewed with relevant class (e.g. fraudulent transactions) being represented by less than 1% of data. The solution works with numerical data and provides...

Model Package - Fulfilled on Amazon SageMaker