This is an Image Classification model from [TensorFlow Hub](https://tfhub.dev/google/imagenet/mobilenet_v1_100_128/classification/4). It takes an image as input and classifies the image to one of the multiple classes. The model available for deployment is pre-trained on ImageNet which comprises...
Model Package - Fulfilled on Amazon SageMaker
This is a Sentence Pair Classification model built upon a Text Embedding model from [Hugging Face](https://huggingface.co/bert-large-cased). It takes a pair of sentences as input and classifies the input pair to 'entailment' or 'no-entailment'. The class label entailment implies the second sentence...
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
This post-pandemic Propensity Model determines the probability that a US adult uses the Shop Now feature on Instagram Regularly. Lift over Random 2.44. 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...
Model Package - Fulfilled on Amazon SageMaker
This post-pandemic Propensity Model determines the probability that a US adult is Planning to Purchase Northface. Lift over Random 1.42. 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
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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
This solution utilizes unsupervised outlier detection methods to detect anomalous health events from multiple sensors providing their heart rate and steps data sequenced over a period of time. Such an approach does not require labelling, as the model learns to detect anomalous values from the...
Algorithm - Fulfilled on Amazon SageMaker
Algorithmic bias is a major concern in models predicting outcomes for people such as loan approval, hiring, committing crime in the future etc. Algorithmic Bias needs to be detected and corrected to ensure that historically disadvantaged groups are not being discriminated against. The solution...
Model Package - Fulfilled on Amazon SageMaker
Among Generative AI's most compelling applications is the generation of synthetic data, a process critical to overcoming the challenges of data privacy, scarcity, and imbalance. Central to this endeavor is SynthStudio, a sophisticated generative model designed to produce high-quality synthetic...
Algorithm - Fulfilled on Amazon SageMaker
Chronic kidney disease (CKD) is a slow and progressive loss of kidney function over a period leading to permanent kidney failure. Type 2 Diabetes is a pre-cursor for CKD. In this POC, the model identifies the subjects susceptible to CKD within 3 years of onset of Type II diabetes. The model is...
Model Package - Fulfilled on Amazon SageMaker
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