We’ll work through examples in each area using Jupyter Notebooks running a Node.js kernel. We’ll also look at how to take these libraries into the browser and the potential for integrating them into web applications via visualisations.
We will provide a docker based environment running Jupyter for use during the workshop and to take away with you to continue development on your own.
Objective of the training: The aim is to provide a practical introduction to ML in a familiar language. Participants should expect to take away new ML concepts, an idea of how to implement those in JS but also an idea of where to look in other languages / stacks for the same capabilities.