MLOps Masterclass: Doing Experiment Tracking Right

Running experiments is a core activity of Data Scientists to create and improve models. Tracking how those experiments are run is essential for easy comparison, analysis and reproducibility of experiments. However, as important as experiment tracking is, many data science, ML engineers and AI developers struggle to do so in an effective and efficient way. 

In this session we will cover new and enhanced experiment tracking features of JFrog ML, showing how to use them and the benefits they offer. We’ll also touch on any new and upcoming features.