Today’s lecture is heavily geared toward coding sensor firmware. We will utilize the resources of MikroElektronika’s largest ARM development board and mikroC PRO for ARM to create firmware for the newest sensor-laden click boards.
An IoT node that cannot communicate the information it collects is useless. The first thing we will do in today’s lecture is ARM a WINC-1500 with a Microchip SAM D21 and teach it to “shoot.”
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.
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.
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...
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.