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Prosper Insights & Analytics' Fashion Conscious propensity model predicts the probability that a U.S. adult consumer is fashion conscious. Based on a set of basic demographics, the model identifies individuals for whom the newest fashion trends and styles are important. The model was trained with...

Model Package - Fulfilled on Amazon SageMaker

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Random Forest classification on dense 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


Detect and generate human-like topics to the given text. With this inference model, news feeders can easily classify their contents and advertisers can also place ads on the web in a more relevant way, matching the content of web pages to the advertiser's industry. Based on contextual language...

Model Package - Fulfilled on Amazon SageMaker


This model blurs the faces of people in an image to preserve privacy. It was trained on the “Labeled Faces in the Wild” dataset and tested on small and medium sized images. This is a great tool to mitigate privacy concerns when showing images which contain people in a public setting. Please note:...

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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A Gradient Boosted Decision Tree for regression on dense data set like CSV 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


Prosper Insights & Analytics' propensity model predicts the probability that a U.S. adult consumer shops at a specific retailer. Based on a set of basic demographics, the model identifies individuals who are likely to shop at that retailer. The model was trained with data from Prosper's large...

Model Package - Fulfilled on Amazon SageMaker


Prosper Insights & Analytics' propensity model predicts the probability that a U.S. adult consumer works on their own car. Based on a set of basic demographics, the model identifies individuals who are likely to be an automotive DIYer. The model was trained with data from Prosper's large Media...

Model Package - Fulfilled on Amazon SageMaker


NETSCOUT Application Performance Management Solution for AWS is ideal for enterprises running application workloads that require compute, network and storage in hybrid cloud environments. This offering enables these Enterprises to assure a high-quality customer and user experience as they migrate...

  • Version 1.0
  • Sold by KNIME

Predicts the yearly income in USD based on personal information. Provide the input data in JSON format. The model was trained using an open dataset of non-identifiable data attributes. The model is deployed using a KNIME workflow (www.knime.com).

Model Package - Fulfilled on Amazon SageMaker