Predictive Analytics and Machine Learning Basics - Hands-On Introduction to Data Science and Advanced Physical Computing
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.
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 behavior of the light sensor will be explored using the Predictive Analytics model built in Excel and Orange 3.
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.
In this session, which is a continuation of Day 3, the Google AIY Voice kit will be evaluated using a hands-on exploration of Machine Learning.
In this final session of the 5-Day webinar course, the Google AIY Vision kit will be evaluated using a hands-on experiment with Machine Learning.
Dr. Don Wilcher, an Electrical Engineer, is an Associate Certified Electronics Technician (CETa), a Technical Education Researcher, Instructor, Maker, Emerging Technology Lecturer, Electronics Project writer, and Book Author. His Learn Electronics with Arduino book, published by Apress, has been cited 80 times in academic journals and referenced on patents.
He is the Assistant Professor of Electrical and Computer Engineering at the University of Alabama - Birmingham. His research interest is Embedded Controls, Robotics Education, Machine Learning, and Artificial Intelligence applications and their impact on Personalized Learning, Competency-Based Models curriculum, and instructional development in Mechatronics, Automation, IoT, Electronics, Robotics, and Industrial Maintenance Technologies. He is also the Founder and owner of MaDon Research LLC, an instructional technology consulting, technical training, and electronics project writing company serving Electronics Marketing Media, Technical and Engineering Education companies.