To create intelligent microcontroller-based systems that can sense, analyse, control and respond to peripheral environment, microcontrollers can be deployed in combination with Artificial Intelligence (Al) using machine learning algorithms. The selection of suitable machine learning algorithm for a microcontroller-based system contingent upon several factors such as application requirements, available hardware resources, and size and complexity of the data set. The following are some of the most common machine learning algorithms used in microcontroller applications: 1. 2. 3. Decision trees Support vector machines Neural networks K-nearest neighbors 4. 5. Random forests Question: Select the best machine learning algorithm that microcontroller-based systems can use to meet their performance requirements whilst remaining within the constraints of the capabilities of microcontroller. (5 Marks) Act