Machine Learning Changes Everything - Digital Engineering

As machine learning makes its way into more applications--leveraging everything from sensor data to consumer information repositories--pressure for hardware and software engineers to familiarize themselves with the technology grows. Because this type of control algorithm differs in key ways from those based on traditional logic, the learning curve may be steeper for some designers. Nevertheless, it's time for all engineers to understand how this technology changes the design process and what tools and practices help with its implementation. One of the best ways to understand machine learning is to consider how it differs from conventional control mechanisms. Traditional programming uses Boolean logic's true and false rules to define a program's behavior, building the application via a series of defined steps, where the rules making up the program ensure what action happens next. Machine learning takes a different approach, built on inductive reasoning.