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Text Tagger creates models from user-provided training sets, such as customer reviews, newspaper articles, academic papers, and business documents. Text Tagger can create models based on training sets with as few as 100 examples per category, though larger training sets will generate more robust...

Algorithm - Fulfilled on Amazon SageMaker

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Sensifai offers automatic audio recognition and tagging. For example, our basic software recognizes hundreds of different sound categories like musical instruments, natural sounds, and machinery audios. In Sagemaker platform, you can easily fine-tune this software to recognize a new set of audios...

Algorithm - Fulfilled on Amazon SageMaker

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Headlight AI offers automatic object classification and identification in low visibility environments where the presence of fog, haze, or smoke makes object classification a complex task. You can deploy the software using the SageMaker ML platform onto a CPU or GPU based machines and run real-time...

Model Package - Fulfilled on Amazon SageMaker


Cloud compute cost forecasting helps businesses assess the cost incurred from their cloud compute resource based on historic data. This will help businesses get an understanding of the potential cost for their VM instances, clusters, snapshots, etc. to help them better plan their compute resources....

Model Package - Fulfilled on Amazon SageMaker

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Trained on Novetta’s hand-tagged data, this model allows users to classify text into one of the following categories: Armed Actions - Coalition; Armed Actions - ISIS; Armed Actions - Russia; Armed Actions - Syrian Regime; Armed Actions - Turkey; Counterterrorism; Cybersecurity; ISIS Threat; Local...

Model Package - Fulfilled on Amazon SageMaker


Univariate time series are datasets comprised of a single series of observations with a sequential ordering and a model is required to learn from the series of past observations to predict the next value in the sequence. This algorithm aims to do the same using one dimensional convolutional neural...

Algorithm - Fulfilled on Amazon SageMaker


When given text, this inference model identifies related product categories to customers to promote cross selling. We understand how people associate a category or a product with another in their minds.

Model Package - Fulfilled on Amazon SageMaker

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Trained on Novetta’s hand-tagged data, this model allows users to classify text into one of the following categories: - European Defense Spending - European Domestic Policy - European Foreign Policy - EU Cohesion - EU Membership - EU Policy - NATO Membership - NATO Organizational Structure - NATO...

Model Package - Fulfilled on Amazon SageMaker


This date-parsing model supports multi-language date/time transformation to a pre-defined date format. It is based on highly accurate machine learning models. Given an input date and time, the model returns a transformed date in YYYY-MM-DD format with the attached time. Dates can be input in any...

Model Package - Fulfilled on Amazon SageMaker