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Chat bots have become mainstream in customer support. However, they serve only as frontend experience and are only as much effective as the power of NLP engine behind them. Otherwise most chat conversations end up in bots not being efficient to understand human language and redirecting to human...

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Sensifai offers action and activity recognition in videos. For example, our basic software recognizes hundreds of activities such as fighting, dancing, playing football, drinking, smoking. In sagemaker platform, you can easily fine-tune this software to recognize new activities and actions by...

Algorithm - Fulfilled on Amazon SageMaker


Use NeoPulse® to build models for most types of machine learning problems including, but not limited to, sentiment analysis, object detection, object recognition, classification and regression. Novices and experts can easily create AI models, using custom data, with as little as 14 lines of code in...

Algorithm - Fulfilled on Amazon SageMaker


Based on the dataset and research papers created by Rami M. Mohammad of the School of Computing and Engineering, University of Huddersfield this model uses a range of different website attributes and features to accurately predict whether a website may be a potential phishing site.

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Using the dataset compiled by Hadi Fanaee-T from the University of Porto. The model uses the dataset to help predict the number of rentals for the day based on weather and holiday statistics.

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By using over 280 stats for teams from both games and seasons going back to the 1990’s, this model can help predict the winners and losers for any future NFL matchups. Whether you are trying to get the upper hand in one of your pick-em leagues or just want to see if your favorite team is going to...

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Using over 30,000 records, predict whether a customer will default on their payments. This model uses 23 variables that include gender, education. age, and previous history of payments to generate an accurate predictor of the chances a customer will default, and help you make better decisions as a...

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Cognitive QnA is an intelligent service , which given a set of FAQ's as an input , is able to intelligently answer a wide range of related questions. It does not require any annotation or tagging of input data and needs minimal variants of the input questions, additionally it is able to create...

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Sensifai offers automatic music genre recognition and tagging. For example, our basic software recognizes different categories of music pieces. In Sagemaker platform, you can easily fine-tune this software to recognize a new set of music genres by providing the required training dataset.

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The flexible, layered implementation facilitates bar code scanning and decoding for any application. It is for for reading bar codes from various sources, such as video streams, image files and raw intensity sensors. It supports many popular symbologies (types of bar codes) including EAN-13/UPC-A,...

Model Package - Fulfilled on Amazon SageMaker