In this webinar, you will learn how to estimate the performance of your model after it has been deployed to production, even when ground truth is not available for the recent predictions.

The webinar is split into a conceptual and a practical part. In the first part, we will go over reasons for performance change, and delve deep into the algorithms NannyML uses to detect those changes for classification and regression use cases. In the practical part, we will implement these algorithms on real-world datasets using NannyML and interpret the results.

Would you like to know more about NannyML? Checkout our website👇
https://www.nannyml.com/

Also, we are fully open-sourced, so don’t forget to star us on Github! ⭐️
https://github.com/nannyml/nannyml

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Other ways to connect 🔗 :

🌐 Linkedin :   / nann.  .

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📝 Medium :   / nannyml  

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