This solution identifies the various aspects from online product reviews for routers. The following 9 aspects are identified: price, speed, range, connectivity, security, ease of installation, tech support, accessibility and, aesthetics. This enables companies to easily identify which aspects are...
Model Package - Fulfilled on Amazon SageMaker
This is an object detection model from [TensorFlow Hub](https://tfhub.dev/tensorflow/retinanet/resnet152_v1_fpn_640x640/1). 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 post-pandemic Propensity Model determines the probability that a US adult is an Auto DIYer if they regularly work on their car. Lift over Random 3.15. 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...
Model Package - Fulfilled on Amazon SageMaker
Text Comprehend is a Natural Language Understanding solution that help users comprehend a passage of text. This is a state-of-the-art context aware, factoid model with bi-directional attention for comprehension. A deep contextualized embedding is used for distributed word representation. The output...
Model Package - Fulfilled on Amazon SageMaker
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The Product Demand Forecasting Solution is a cloud-native predictive analytics ML model that analyzes multiple data points, including historical sales data, inventory data, and growth projections to generate up to 50% more accurate product demand forecasts. The solution is scalable and...
Algorithm - Fulfilled on Amazon SageMaker
Surface defects in ceramic tiles pose aesthetic and structural problems. Classifying defects enables for the rapid identification and removal of the causes of their occurrence, as well as the provision of appropriate treatments to fix them. This Deep Learning-based solution identifies three classes...
Algorithm - Fulfilled on Amazon SageMaker
This post-pandemic Propensity Model determines the probability that a US adult Watches College Basketball. Lift over Random 1.65. 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
Prosper Insights & Analytics' propensity model predicts the probability that a U.S. adult consumer has a specific health condition. Based on a set of basic demographics, the model identifies individuals who are likely to have the health condition. The model was trained with data from Prosper's...
Model Package - Fulfilled on Amazon SageMaker
Customer churn refers to the loss of existing clients or customers. This solution identifies newspaper customers who are more likely to discontinue their current subscription. During the training stage, the solution automatically conducts feature interaction on the training data and selects a...
Algorithm - Fulfilled on Amazon SageMaker
This post-pandemic Propensity Model determines the probability that a US adult uses Marijuana Regularly. Lift over Random 1.69. 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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