BigML
Machine Learning made beautifully simple for everyone
BigML is a machine learning platform for building and automating predictive models from data. It supports classification, regression, time series forecasting, cluster analysis, anomaly detection, association discovery, topic modeling, and principal component analysis, with models usable as remote services or exported for local, offline predictions in applications.
The platform offers a point-and-click Dashboard, a REST API with bindings for languages including Python, Node.js, Ruby, Java, and Swift, and WhizzML, a domain-specific language for automating workflows. OptiML provides automatic model selection and parameter optimization, while models include visualization and explainability features such as Partial Dependence Plots, Prediction Explanations, and Field Importances. Models can be exported via JSON, PML, and PMML for use in web, mobile, or IoT applications, and integrations include Google Sheets, Amazon Echo, and Zapier. Collaboration features include Organizations and Projects with roles and permissions. Deployments are available as multi-tenant or single-tenant cloud or on-premises options, including BigML Lite and BigML Enterprise editions.
BigML is aimed at analysts, software developers, scientists, and organizations adopting machine learning across departments. A free plan includes up to 60 tasks with a 3-day trial of full functionality and no credit card required. Paid Prime accounts are based on dataset size and parallel task needs, with unlimited tasks and access to Organizations. Private deployments are offered with unlimited users and tasks, available self-managed or fully managed.
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