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Starting from $3.97/hr or from $29,000.00/yr (17% savings) for software + AWS usage fees

At KNIME, we build software to create and productionize data science using one easy and intuitive environment, enabling every stakeholder in the data science process to focus on what they do best. KNIME Analytics Platform is the open source software for creating data science. KNIME Server is the...

Linux/Unix, Ubuntu 18.04 LTS - 64-bit Amazon Machine Image (AMI)


H2O’s AutoML can be used for automating the machine learning workflow, which includes automatic training and tuning of many models within a user-specified time-limit. Stacked Ensembles – one based on all previously trained models, another one on the best model of each family – will be automatically...

Algorithm - Fulfilled on Amazon SageMaker


The decision forest classification algorithm is based on an ensemble of tree-structured classifiers built using the general technique of bootstrap aggregation (bagging) and random choice of features. Decision tree is a binary tree graph. Its internal (split) nodes represent a decision function used...

Algorithm - Fulfilled on Amazon SageMaker


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


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


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

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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


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


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...

Algorithm - Fulfilled on Amazon SageMaker