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Topic Modeling solution clusters words/phrases into abstract topics. This solution helps in understanding document content, category and document similarity. Given a set of training documents, this module trains a model and maps the top five relevant abstract topics which have high content...

Algorithm - Fulfilled on Amazon SageMaker

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Knowledgent’s Intelligent Trial Planning (ITP) platform enables clinical researchers to understand the timeline impact of Inclusion/Exclusion criteria. ITP uses Artificial Intelligence (Machine Learning & Deep Learning models) to forecast study enrollment and provide decision support through a...

Model Package - Fulfilled on Amazon SageMaker

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Random Forests for regression 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 20.01b
  • Sold by CVEDIA

Detect humans in both daytime and low light conditions using the CVEDIA ELEOS Perimeter Security Detector. Built to be environmentally agnostic, this model will function in both urban and rural environments. ELEOS is able to distinguish humans from common wildlife mammals, and was developed using...

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A Gradient Boosted Decision Tree for regression 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


A recommender model that learns a matrix factorization embedding based off minimizing the pairwise ranking loss described in the paper.

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


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...

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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.

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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