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Mphasis network capacity planner helps businesses forecast their network usage. This will help businesses asses their network requirements and make better cost-efficient decision. It uses ensemble ML algorithms with automatic model selection algorithms. This solution provides consistent and better...

Model Package - Fulfilled on Amazon SageMaker

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7Park Data video game NER allows you to identify and surface video game titles in unstructured text data. Use this solution for competitive intelligence, for better customer service, more targeted prospecting and to make more data driven decisions. Our video games classifier (NER) has been...

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


Cloud Database Cost Forecasting generates 24 hours of forward forecast of database cost using historical data. This solution will help businesses to better optimize their on-cloud hosted database resources and foresee their cost fluctuations. It uses ensemble ML algorithms with automatic model...

Model Package - Fulfilled on Amazon SageMaker


ClosedLoop's end to end machine learning platform allows users to go from raw, messy EHR, claims, labs, SDoH, device, and other patient linkable data streams to production deployed predictive models in just 24 hours. The predicted outcome is the probability of an all-cause hospital admission...

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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  • Sold by vLife

Lung cancer starts when cells of the lung become abnormal and begin to grow out of control. As more cancer cells develop, they form into a tumor. There are 2 main types of lung cancer as about 80% to 85% of lung cancers are non-small cell lung cancer (NSCLC) and about 10% to 15% are small cell lung...

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This deep autoencoder is trained using TensorFlow and seeks to provide greater performance when compared to traditional anomaly detection techniques such as IF, LOF and OCSVM. The algorithm returns a probability score, which corresponds to the probability that the customer/transaction is fraudulent.

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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


Autocode Text To Ruby Code Recommender takes a code related user text query as input and returns 3 optimal Ruby code recommendations from Github that will be syntactically and semantically correct. Considering the ever increasing number of programming languages and the frameworks that are built...

Model Package - Fulfilled on Amazon SageMaker