Jon Nordby
Jon is a Machine Learning Engineer specialized in IoT systems, with a Master in Data Science and a Bachelor in Electronics Engineering. He has been contributing to open-source software since 2010.
These days Jon is Head of Data Science at Soundsensing, a provider of monitoring solutions for HVAC systems in commercial buildings. He is also the maintainer of emlearn, an open-source Machine Learning library for microcontrollers.
Session
Python is the standard solution for many machine learning and data science applications,
from large cloud systems, to workstations, and even on larger embedded or robotics systems.
But as we move down into more constrained environments regular (C)Python starts to be a less good fit.
The MicroPython project provides a Python implementation that is tailored for such environments,
and this makes it possible scale down to microcontrollers with just a few megabytes of RAM (or less!).
As a bonus, MicroPython with WebAssembly also makes lightweight browser applications possible.
In this talk, we will discuss how to combine Internet of Things (IoT) hardware, MicroPython and browser to build stand-alone smart sensor systems and laboratory gear for physical data science.