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Bayes Server™

Bayesian network software

 Graphical & probabilistic software for modeling data and expert opinion    Powered by an efficient & scalable cross platform machine learning engine for .NET and Java using Bayesian networks




 Time series

 Big data    Apache Spark, Hadoop and more

US Department of Energy
Financial Times

Imperial College
University of Leceister
University of Sydney

Bayes Server 6

Lastest release - October 05, 2014

New in 6: Distributed parameter learning on Big Data platforms including Apache Hadoop and Apache Spark.
Auto insight - automatically and dynamically generate insight from a network.

What is Bayes Server?

Bayes Server™ is powerful predictive modeling software used in the fields of Machine Learning, Time Series Analysis, Pattern Recognition, Data Mining and Artificial Intelligence.

Bayes Server™ uses Bayesian networks and temporal Bayesian networks to perform tasks such as Classification, Regression, Time Series prediction, Segmentation/Clustering, Density estimation, anomaly detection, Decision Support, reasoning, multivariate data analysis and much more.

Bayes Server™ includes a User Interface and cross platform APIs for building and visualizing models, learning models from data, sampling data, charting, and building complex probability queries, including time series predictions.



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We offer a 2 day training course on Bayesian networks. Visit our training page for the course outline, and sample material including walkthroughs.