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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...

Model Package - Fulfilled on Amazon SageMaker


The goal of this project is to classify text sentences, based on the following type: * Statement (Declarative Sentence) * Question (Interrogative Sentence) * Exclamation (Exclamatory Sentence) * Command (Imperative Sentence). The program encodes the test text into numeric data which is then...

Model Package - Fulfilled on Amazon SageMaker

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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


This is a demo product from Amazon that showcases the Marketplace experience. It was created using this sample notebook https://github.com/awslabs/amazon-sagemaker-examples/blob/master/advanced_functionality/scikit_bring_your_own/scikit_bring_your_own.ipynb. Decision Trees (DTs) are a...

Model Package - Fulfilled on Amazon SageMaker


Document Classifier is a Natural Language Processing based text classification model which analyzes the document text to identify the document type. It ingests documents in pdf format and gives the document type as a text string. Supported Document Types are: 1. Commercial Invoices 2. Broker...

Model Package - Fulfilled on Amazon SageMaker


Deepgram Brain Speech Recognition provides high accuracy, scalable speech recognition built to deliver actionable insights from voice data in realtime. With deep learning speech models optimally trained to understand your recorded audio, Deepgram run on Amazon’s cloud is the one-stop-shop for...

Model Package - Fulfilled on Amazon SageMaker

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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


Expert Identifier is machine learning based model that uses information present in any incident/ticket management data such as: Ticket ID, Ticket Solver Id, Ticket Priority, Ticket Category, Ticket Submission and Resolved date and identifies the right expert to be assigned to a specific ticket or...

Model Package - Fulfilled on Amazon SageMaker


Table Detection is a component of DeepInsights, which helps in detecting the tabulated data present inside unstructured documents. It is a Deep Learning model which localizes and separates tables from free-text in documents. The end result will contain the highlighted boundaries of the tabular...

Model Package - Fulfilled on Amazon SageMaker


In this algorithm we'll be applying deep learning techniques to the task of sentiment analysis. Sentiment analysis can be thought of as the exercise of taking a sentence, paragraph, document, or any piece of natural language, and determining whether that text's emotional tone is positive or...

Algorithm - Fulfilled on Amazon SageMaker