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Prosper Insights & Analytics' propensity model predicts the probability that a U.S. adult consumer is a Snow Skier. Based on a set of basic demographics, the model identifies individuals likely to Snow Ski as a leisure time activity. The model was trained with data from Prosper's large Media...

Model Package - 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

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  • Version 0.1
  • Sold by Peak

Forecasting demand accurately is key to running an efficient supply chain, keeping inventories stocked to the ideal levels and fulfilling your customer orders. Analytics-based demand forecasting is more accurate than other approaches, allowing you to minimise money tied up in stock, avoid shortages...

Algorithm - Fulfilled on Amazon SageMaker

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Singular Value Decomposition based dimensionality reduction 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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  • Version 0.1
  • Sold by Peak

The algorithm creates a model that will classify a time series into its type of demand intermittency*. *Using Syntetos, Boylan and Croston demand categories.

Algorithm - 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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Jump start your ability to understand how much and the type of work being done in your operation. Stationary work refers to employees who are folding, dusting, scanning items at check-out vs. the still sitting or standing.

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

Free Trial


Detect the location of the credit card in the image; Localize the four groupings of four digits, pertaining to the sixteen digits on the credit card; Apply OCR to recognize the sixteen digits on the credit card; Recognize the type of credit card (i.e., Visa, MasterCard, American Express, etc.).

Model Package - Fulfilled on Amazon SageMaker

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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