Sign in
Categories
Migration Mapping Assistant Your Saved List Partners Sell in AWS Marketplace Amazon Web Services Home Help

Structured (137 results) showing 1 - 10



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


Key phrase extractor uses end-to-end text extraction pipeline, text analysis and natural language processing techniques to automate key phrases/words extraction from text documents. This solution is based on unsupervised graph-based, topic-based, statistics-based algorithms for the construction of...

Model Package - 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


This algorithm uses a neural network built in Tensorflow to predict anomalies from transaction and/or sensor data feeds. The model outputs predictions and reconstruction errors for the observations that highlight potential anomalies. Using an adjustable lower order basis representation of the...

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


Bitcoin predictor model can help to predict the bitcoin prices based on the time series data. The model is trained with 4 years of data to identify patterns and trends. Tensorflow’s LSTM deep learning model has been used to create the model.

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


This algorithm uses the scikit learn framework to predict hospital readmissions from EMR data, DRGs and billing data. The model predicts the probability that a patient will return to the hospital within a certain time period(30 days) or not. The predicted output is the % chance that the patient...

Algorithm - Fulfilled on Amazon SageMaker

Free Trial


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