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Mona is a monitoring platform for AI systems, providing you with unparalleled visibility into how your data and models behave in production, using highly configurable anomaly detection mechanisms and analytical tools to make sure you can find drifts, biases, data integrity issues and more.
In the following chapters we will show you how to export your data to Mona, configure it properly, set up anomaly detections and get notifications directly to your email or messaging apps such as Slack.
In this tutorial, we will work with a dataset for a creditworthiness model for short-term loans. You can find the dataset and useful related scripts on our git repository. We encourage you to be hands-on during this tutorial and use the dataset yourself in your own Mona account. In case you still don’t have an account up and running, you can start your free 30-day trial here or contact us at [email protected]
Updated about 2 months ago