This post-pandemic Propensity Model determines the probability that a US adult uses Marijuana Edibles. Lift over Random 1.54. 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
An explicit feedback matrix factorization model. Uses a classic matrix factorization approach, with latent vectors used to represent both users and items. Their dot product gives the predicted score for a user-item pair.
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
Prosper Insights & Analytics' propensity model predicts the probability that a U.S. adult is For or Against a political issue. Based on a set of basic demographics, the model identifies individuals who are likely to be For or Against a specific issue. The model was trained with data from Prosper's...
Model Package - Fulfilled on Amazon SageMaker
Flight delays could cause airlines to incur financial losses in the form of accommodation expenses for the delayed passengers as well as penalties, fines, and operational costs for aircraft labor retention at airports. Furthermore, continual unexpected delays could cause the airline to lose their...
Algorithm - Fulfilled on Amazon SageMaker
This is an object detection model from [TensorFlow Hub](https://tfhub.dev/tensorflow/centernet/resnet50v2_512x512_kpts/1). It takes an image as input and returns bounding boxes for the objects in the image. The model is pre-trained on COCO 2017 which comprises images with multiple objects and the...
Model Package - Fulfilled on Amazon SageMaker
This is a Sentence Pair Classification model built upon a Text Embedding model from [TensorFlow Hub](https://tfhub.dev/tensorflow/bert_multi_cased_L-12_H-768_A-12/2). It takes a pair of sentences as input and classifies the input pair to 'entailment' or 'no-entailment'. The class label entailment...
Model Package - Fulfilled on Amazon SageMaker
Businesses succeed when existing customers enhance their accounts through rate plan and device upgrades, feature addons, and line additions to grow account size. The Add a Line - Mobile Broadband Device model is part of ElectrifAi's propensity model suite which enhances a business's predictive...
Model Package - Fulfilled on Amazon SageMaker
Create an anti-fraud strategy to identify loan applicants highly likely to commit fraud by using customer demographic data, credit history, and payment behavior. Decision trees applied to extract features of fraud to detect early-on. Seamlessly deployed in our client's environment, we inferred the...
Model Package - Fulfilled on Amazon SageMaker
This solution identifies the various aspects from online product reviews for radio. The following 4 aspects are identified: sound quality, build quality, installation & use, and price. This enables companies to easily identify which aspects are being reviewed. This information can be used to assess...
Model Package - Fulfilled on Amazon SageMaker
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