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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


This model provides intermediate image feature extraction functionality for image classification. It can also provide top-5 category predictions out of 1000 classes on ImageNet. This network is one of the fastest models that also provide high accuracy. It also provides high-quality features as...

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Named Entity Recognition (NER) is a subtask of information extraction that seeks to locate and classify named entities in text into predefined categories such as the name of a person, location, time, quantity, etc. Chatbot NER is heuristic based that uses several NLP techniques to extract necessary...

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Sensifai offers automatic celebrity or famous people recognition in videos. Given an input video, this model will understand some of the most famous people in the world in Sagemaker platform.

Model Package - Fulfilled on Amazon SageMaker


2016 has seen some of the largest DDOS (Distributed Denial of Service) attacks to date. The attacks were carried out by botnets comprised of insecure IoT devices from all over the world. Our goal is to detect botnet attacks using the traffic data from 9 different IoT devices. Each devices has been...

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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...

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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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Latent semantic analysis (LSA) is a technique in natural language processing, in particular distributional semantics, of analyzing relationships between a set of documents and the terms they contain by producing a set of concepts related to the documents and terms.

Algorithm - Fulfilled on Amazon SageMaker


Customer churn refers to the situation when a customer ends their relationship with a company, and it’s a costly problem. Loss of customers impacts sales of a company. This model can be used by companies to predict the probability of a customer leaving the company. The model is trained on the data...

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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