A Beginner's Guide To Machine learning For Embedded Systems

Machine learning in embedded systems allows the use of that data in automated business processes to make more educated predictions. Running machine learning models on embedded devices is generally known as embedded machine learning. Machine learning leverages a large amount of historic data to enable electronic systems to learn autonomously and use that knowledge for analysis, predictions, and decision making. Devices such as these can fulfill many tasks in the industry. Such devices allow machine learning algorithms on low-power devices like microcontrollers.