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A Random Forest Algorithm for classification on sparse data set like LibSVM without translating the data set into other formats like recordIO. The algorithm scales efficiently across multi-cores on a single AWS EC2 Instance out of the box.

Algorithm - Fulfilled on Amazon SageMaker


Gradient Boosting Machine (for Regression and Classification) is a forward learning ensemble method. The guiding heuristic is that good predictive results can be obtained through increasingly refined approximations. H2O’s GBM sequentially builds regression trees on all the features of the dataset...

Algorithm - Fulfilled on Amazon SageMaker


k-Nearest Neighbors (kNN) classification is a non-parametric classification algorithm. The model of the kNN classifier is based on feature vectors and class labels from the training data set. This classifier induces the class of the query vector from the labels of the feature vectors in the...

Algorithm - 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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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


Prosper Insights & Analytics' Fashion Conscious propensity model predicts the probability that a U.S. adult consumer is fashion conscious. Based on a set of basic demographics, the model identifies individuals for whom the newest fashion trends and styles are important. The model was trained with...

Model Package - Fulfilled on Amazon SageMaker

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AutoML-Matrix is a proprietary self-learning Neural Network algorithm which can automatically build state-of-the-art classification models for data presented in a matrix (or tabular) form. Given a dataset, this algorithm determines the architecture of the Neural Net and then computes its parameters...

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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With Deep Vision visual search APIs, you find visually similar products in your collection of images in real time, to enhance product search and organize your media automatically. Leading e-commerce, brands and media companies, utilize visual search to translate consumer desire into purchase by...

Model Package - Fulfilled on Amazon SageMaker