Data-Driven AI Meetup 3: Easy ML monitoring with Toloka Boris Tseytlin, ML Research Scientist. In this video Toloka Boris will explain how to use Toloka to detect data drifts and model degradation. During this hands-on tutorial, you will learn how to set up dependable pipelines, send model predictions for labeling, and compute various parameters and metrics. In order to keep configuration alongside the project’s code, Boris will show how to utilize Toloka-Kit, Toloka’s [very own] Python-based open-source library.
This blog has been republished by AIIA. To view the original video, please click HERE.