Don is a passionate teacher of electronics technology and an electrical engineer with 26 years of industrial experience. He has worked on industrial robotics systems, automotive electronic modules and systems, and embedded wireless controls for small consumer appliances. He's currently developing 21st century educational products focusing on the Internet of Things for makers, engineers, technicians, and educators. He is also a Certified Electronics Technician with ETA International and a book author.
This session will discuss the basics of Machine Learning. Applications of Machine Learning will be provided. The hands-on lab project exercise consists of executing and evaluating a hand-writing recognition training model.
The Day 2 class is a continuation of the Predictive Analytics introduction session. Predictive Analytics modeling using linear regression will be investigated. The hands-on project will consist of wiring an online-based Arduino Light Sensor circuit simulator using TinkerCad circuits. The electrical...
This introductory session discusses Predictive Analytics basics and applications. The Google online data analysis Colaboratory environment will be explored. The hands-on project will consist of performing data collection with the Raspberry Pi.
Engineers, researchers, and makers don't need high-powered computing to develop machine learning applications. Google's open-source Colaboratory makes it easy to explore machine learning on a simple Raspberry Pi.
It's not just big tech companies developing processors for artificial intelligence. University researchers are also actively investigating how to build hardware for sophisticated AI applications like deep learning.