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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
How green is your car? Cars running on hyrocarbon based fuels are a major contributor of greenhouse gasses in the atmosphere. With the sustainability becoming a decision criteria of acquiring a car along with the other usual attributes like performance, asthetics, reliability etc, this solution...
Model Package - Fulfilled on Amazon SageMaker
This solution predicts the Loss due to default of the borrowers who are most likely to default on their Consumer loans in Peer-to-Peer lending. During the training stage, the solution understands the dataset, handles missing data and class imbalance, conducts feature interaction on the training...
Algorithm - Fulfilled on Amazon SageMaker
The solution helps users interpret complex black-box machine learning models by bringing out the important features which the model uses for predictions. It also identifies the features and their effect on the predictions, for each of the predictions. The solution supports 40+ tree based...
Algorithm - Fulfilled on Amazon SageMaker
Retail Discovery Session Discover the Effort, Cost, and Timeline of Your Next Project Ready to quantify what it will take to add initiatives like mobile apps, ship from store, membership/loyalty solutions, curbside pickup, product recommendations, supply chain optimization, machine learning, and...
The solution automates the undifferentiated heavy-lifting of creating project infrastructure and provides the project team with a web application to experiment with the following components of a RAG-based solution: Document collections Indices Retrieval configuration (which indices to use and...
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The Dynamic Factor Variance-Covariance Model (DFVCM) makes multi-step forecasts of multivariate volatilities of a large number time-series (e.g. those of numerous investable assets in many markets) by applying dynamic factor model (DFM). The multi-step forecasts of multivariate volatilities are...
Algorithm - Fulfilled on Amazon SageMaker
While GenAI has the potential to truly transform any organisations operations, GenAI is often hindered by integrating into old systems and outdated staff processes, and hence the ability to impact service and costs can be reduced. Also, depending on the criticallity of the process, often having a...
Starting from $0.10 to $0.10/hr for software + AWS usage fees
This is a repackaged open-source software product wherein additional charges apply for technical support and maintenance by Apps4Rent. PyTorch is a powerful and popular open-source machine learning framework based on the Torch library. Its widely used for tasks like computer vision, natural...
Linux/Unix, Ubuntu 22.04 - 64-bit Amazon Machine Image (AMI)
This post-pandemic Propensity Model determines the probability that a US adult uses Twitter Regularly. Lift over Random 1.61. 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 Media...
Model Package - Fulfilled on Amazon SageMaker
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