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This algorithm enhances contemporary credit scoring by determining whether someone will experience financial delinquency in coming years. Can be used to know the potential risks in credit profile of a customer beforehand and eventually take adequate measures to mitigate it.

Algorithm - Fulfilled on Amazon SageMaker


Logistic regression is a method for modeling the relationships between one or more explanatory variables and a categorical variable by expressing the posterior statistical distribution of the categorical variable via linear functions on observed data. If the categorical variable is binary, that is...

Algorithm - Fulfilled on Amazon SageMaker


BigDL is a distributed deep learning library created specifically to train and use deep learning models in Apache Spark; No additional hardware is required. You write and run deep learning applications as standard Spark programs.

Algorithm - Fulfilled on Amazon SageMaker

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Sensifai offers automatic video/image recognition and tagging. For example, our basic software recognizes thousands and thousands of objects/scenes and concepts in videos and images such as cars, foods, and animals. In Sagemaker platform, you can easily fine-tune this software to recognize a new...

Algorithm - Fulfilled on Amazon SageMaker


Online abuse is increasing day by day and it's becoming a threat in daily life making lot of people around the world daily victims of online harassment. The Abusive Content Detection identifies the comments in your content and classifies according to its severity. This helps detect any harassing or...

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7Park Data transaction data parsing allows you to wrangle more value out of your credit card, POS, and receipt data by identifying and extracting key entities. Our transaction data classifier (NER) has been trained and optimized on millions of credit card transactions over the last 5 years....

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


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

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The PPE Detector for Worker Safety - is a real-time image recognition and classification model for PPE monitoring in industrial settings. Trained on a synthetic dataset of 100,000 images, it analyzes live footage from high-resolution cameras to identify workers wearing protective gear. The solution...

Model Package - Fulfilled on Amazon SageMaker


An end-to-end source separation in the time-domain. Vocal separation of an input source audio. It uses a convolutional neural network to separate the background music/noise and vocals in an input wav/mp3 audio file. The model package is an adaptation of the U-Net architecture to the one-dimensional...

Model Package - Fulfilled on Amazon SageMaker