Putting a Trained ML Pipeline Behind a Webserver

On-Demand Webinar

Often in large projects, one of the key goals is to deliver a final solution to a large user base, and with the growing popularity of Machine Learning and Data Science, the final solution often looks like a Machine Learning pipeline. In this micro training, we will explore a simple way to deploy your trained ML models behind a web server. We will use Dashboards.jl to make our models available over the network. You will be introduced to a basic working example of an inference pipeline and with the tips of scaling it up for larger deployments.