This post-pandemic Propensity Model determines the probability that a US adult is Planning to Purchase Athleta. Lift over Random 2.91. This post-pandemic Propensity model is one of a series of consumer classification models based on data from over 17,000 US adults surveyed in 2021 from Prosper's US...
Model Package - Fulfilled on Amazon SageMaker
Customer churn refers to the loss of existing clients or customers. This solution identifies broadband customers who are more likely to discontinue their current broadband service provider. During the training stage, the solution automatically conducts feature interaction on the training data and...
Algorithm - Fulfilled on Amazon SageMaker
The AI Acceleration Framework is comprised of 4 modular engagements that can be tailored to meet your orginization where they are at in their AI journey. AI Chalktalk & Demo CapTech shares relevant trends and opportunities we’re seeing in the AI space with your team during this short session to...
This post-pandemic Propensity Model determines the probability that a US adult is Planning to Purchase Balenciaga. Lift over Random 3.32. This post-pandemic Propensity model is one of a series of consumer classification models based on data from over 17,000 US adults surveyed in 2021 from Prosper's...
Model Package - Fulfilled on Amazon SageMaker
Machine Learning in a Box (MLiB) is a complete functional solution that helps customers take advantage of all their data sources to build out Machine Learning models providing both insight and predictive decision making for their business needs. MLiB provides a thorough and in-depth approach to...
Retail Sales Forecasting generates 30 months of forward forecast of retail sales using historical data. This solution helps retailers to predict future sales and thereby optimize their inventory, logistics, warehouse management, production planning, personnel allocation, etc. It uses ensemble ML...
Model Package - Fulfilled on Amazon SageMaker
H2O’s Deep Learning is based on a multi-layer feedforward artificial neural network that is trained with stochastic gradient descent using back-propagation. The network can contain a large number of hidden layers consisting of neurons with tanh, rectifier, and maxout activation functions. Advanced...
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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In production ground truth is often delayed or absent. Traditional data drift detection techniques are noisy and do not only alert to changes that impact model performance. Performance estimation allows you to estimate performance metrics (ROC-AUC, F1, RMSE, etc) without ground truth. MCBPE is an...
Algorithm - 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 a diagnosis code for a pathological fracture in the next...
Model Package - Fulfilled on Amazon SageMaker
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