IoT + ML Lab - Introduction

Part 0 - Introduction Workshop Slides: https://bit.ly/iotlab-slides Code & Running Apps: https://bit.ly/iotlab-code This workshop is a crash-course in accessible and practical machine learning, with a focus in computer-vision models. We’ll learn about popular ML models by building our own small IoT application which will use the models to generate data, and then we’ll dive into making our own simple predictive model from the gathered data to make predictions based on what our IoT sensor has collected. For this workshop, we’ll be using JavaScript to leverage Google’s Tensorflow library for the pre-trained image recognition models, and the Brain.js library for creating our own models for prediction. All skill levels are welcome, and those with experience with a dynamically interpreted language such as JavaScript or Python are especially encouraged to attend.