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Chat bots have become mainstream in customer support. However, they serve only as frontend experience and are only as much effective as the power of NLP engine behind them. Otherwise most chat conversations end up in bots not being efficient to understand human language and redirecting to human...

Model Package - Fulfilled on Amazon SageMaker

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A logistic regression model for binary classification 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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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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Sensifai offers sport recognition in videos. For example, our basic software recognizes hundreds of sport activities such as soccer, basketball and tennis. In sagemaker platform, you can easily fine-tune this software to recognize new sports and sport activities by providing the required training...

Algorithm - Fulfilled on Amazon SageMaker


ClosedLoop's end to end machine learning platform 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 receiving an initial diabetes diagnosis in...

Model Package - Fulfilled on Amazon SageMaker

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Motion is the number one cause for injuries in the workplace as well as the structural driver for athletic activities. Modjoul Motion model identifies 4 major activities and corresponding metrics. This model detects not only walking but also bends, twists and stationary activity. It accepts input...

Model Package - Fulfilled on Amazon SageMaker


The decision forest regression algorithm is based on an ensemble of tree-structured classifiers (decision trees) built using the general technique of bootstrap aggregation (bagging) and random choice of features. Decision tree is a binary tree graph. Its internal (split) nodes represent a decision...

Algorithm - Fulfilled on Amazon SageMaker

  • Version 1.0
  • Sold by KNIME

Predicts the credit risk (good or bad) using the input data that captures information about a specific person. Provide the input data in JSON format. The model was trained using a generated dataset of credit information. The model is deployed using a KNIME workflow (www.knime.com).

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


Evaluate the similarity of two words, sentences, paragraphs, or documents. Get a score of how similar or different two text are. For an example of a real use case, this inference model was used in creating the first semantic keyword research tool that can sort by relevance. This inference model...

Model Package - Fulfilled on Amazon SageMaker