Orchestrate machine learning models with opensource tools
Salle 242 B
Many tutorials exist for creating machine learning models. In most cases, a model is created and then improved either by adding training data or optimizing hyperparameters. But how do you manage the creation and optimization of thousands of models in parallel? How do you make sure that the models and forecasts are up to date? We have built an ecosystem around open source tools to respond to this problem.