In a Mist deployment, the Radio Resource Management feature is an example of which type of machine learning?
In a Mist deployment, the Radio Resource Management feature is an example of which type of machine learning?
In a Mist deployment, the Radio Resource Management feature is an example of reinforcement learning. Reinforcement learning involves an agent that learns to make decisions by performing certain actions and receiving rewards or penalties. In the context of Radio Resource Management, reinforcement learning allows the system to optimize the allocation and configuration of radio resources based on feedback from the environment, thereby constantly improving its performance.
B. Reinforcement learning, https://www.mist.com/resources/leveraging-reinforcement-learning-optimize-wi-fi/
B design.mist.com/rrm
https://www.mist.com/resources/leveraging-reinforcement-learning-optimize-wi-fi/
B is the correct answer
C. unsupervised learning