Machine Learning: Client-side ML vs Server-side ML

“Machine Learning (ML) and Artificial Intelligence are becoming ubiquitous in websites, chatbots and mobile apps. While JavaScript/ may not be the language/framework of choice for building and training ML models, it is an excellent option for building the user-facing server layer that brings ML product to life. In this talk learn about the ways that Node and ML can work together, whether it’s through running ML models in the browser (using WebAssembly and WebGPU) or writing a node server for an ML chatbot. We’ll show you how to take a pre-trained ML model built on any library (e.g. TensorFlow, Torch) and any language (python, lua), and build and deploy a node server for a Facebook messenger bot that interfaces with the model.“ EVENT: NodeConf EU 2017 SPEAKER: Nikhila Ravi