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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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Jump start your ability to understand worksite risk using the Modjoul Geo Fence Model. Geo fencing uses GPS to establish a digital boundary around a work site to keep employees safe. Understand which workers enter into a work site and understand when employees are in high consequence areas. The Geo...

Model Package - Fulfilled on Amazon SageMaker


It has become a common practice for people to read online opinions/reviews for different purposes. For example, if one wants to buy a product, he typically goes to a review site (e.g., amazon.com) to read some reviews of the product. Helpful reviews can result in significant financial gain for...

Model Package - Fulfilled on Amazon SageMaker


The Behavioral AI solution utilizes transcripts of collections-based conversations between contact center agents and consumers to identify and flag financial difficulty, forgetfulness and potential vulnerability, enabling firms to treat consumers with care and meet regulatory requirements....

Model Package - Fulfilled on Amazon SageMaker

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  • Sold by Peak

Customers have different needs and behaviours. By grouping together those that are similar, you can adapt your approach to suit those differences. You can do this by targeting the customers who provide maximum value, encouraging new habits in those who cost you and tailoring your service to the...

Algorithm - Fulfilled on Amazon SageMaker


Cortexica's fashion localisation model can be used to detect items of clothing from any input image. The results include bounding box coordinates, along with category information. The output can be in Json format, or as a an image with bounding boxes overlaid on the original image for easy...

Model Package - Fulfilled on Amazon SageMaker


The goal of this project is to classify text sentences, based on the following type: * Statement (Declarative Sentence) * Question (Interrogative Sentence) * Exclamation (Exclamatory Sentence) * Command (Imperative Sentence). The program encodes the test text into numeric data which is then...

Model Package - Fulfilled on Amazon SageMaker

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Prosper Insights & Analytics' propensity model predicts the probability that a U.S. adult consumer uses Lyft. 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

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Trained on Novetta’s hand-tagged data, this model classifies user-provided text into one of the following categories: Civilian Casualties; Freedom of the Press; Human Rights; Human Rights Investigations; Humanitarian Aid; Impact of Chemical, Biological, Radioactive, and Nuclear Weapons; Prisoners;...

Model Package - Fulfilled on Amazon SageMaker