A cloud-based service for building, training, and deploying machine learning models, offering automated machine learning, drag-and-drop functionality, and integration with Jupyter notebooks.
Integrated development environments that combine programming tools, statistical libraries, and visualization capabilities for actuarial data analysis and model development.
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Advanced tools that leverage machine learning and data mining techniques to identify patterns in historical data and make forward-looking predictions about risk factors and claims frequency.
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