Easily Operating Machine Learning Models – The Official Blog of BigML.com

As Machine Learning use grows, the need for engineering solutions to cover all the diversity of real end-to-end scenarios that arise becomes more obvious. Originally, people mainly focused on creating and tuning the best model that your data could produce. Nowadays, that task can be handled nicely by automated procedures like OptiML and AutoML, which will smartly find the best combination of model types and parameters for the business problem at hand. But still, once we find the right model the challenge of building the right framework to use it as a piece of software ready for production remains. In short, we need actionable models.