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This is a machine learning method that involves rewarding and punishing an agent for its actions in an environment. The agent learns by trial and error to maximize the rewards and minimize the penalties.This is how Mist AI performs Radio Resource Management (RRM) to optimize the RF radio waves that transmit network traffic in wireless LANs1.

machine learning and deep learning are two domains that comprise artificial intelligence (AI).AI is the ability of a computer or a robot to perform tasks that normally require human intelligence, such as reasoning, learning, or problem-solving1.AI can be applied to various fields and industries, such as healthcare, finance, education, and entertainment1.

Machine learning is a subset of AI that enables computers to learn from data and experience without being explicitly programmed2.Machine learning uses algorithms and statistical models to analyze data and find patterns, correlations, or predictions2.Machine learning can be used for various tasks, such as image recognition, natural language processing, recommender systems, or fraud detection2.

Deep learning is a subset of machine learning that uses artificial neural networks to mimic the structure and function of the human brain3.Deep learning can process large amounts of complex and unstructured data, such as images, videos, or texts3.Deep learning can be used for various tasks, such as face recognition, speech recognition, natural language generation, or self-driving cars3.

You are inviting a new administrator into a Mist organization. In this scenario, the two roles that are valid areObserverandInstaller. These are two of the predefined administrator roles that Mist offers for different levels of access and permissions. You can assign these roles to the new administrator when you invite them to join your organization.

The Observer role is a read-only role that allows the administrator to view and monitor the sites that they have access to. The Observer role can see the site-level features, such as monitor, clients, access points, location, analytics, and network. However, they cannot configure or modify any organization-level features or claim APs.

The Installer role is a minimal role that allows the administrator to perform the initial installation tasks for the sites that they have access to. The Installer role can claim APs, assign APs to sites, or place APs on maps. However, they cannot unclaim or remove APs from the organization. They also cannot access the native Admin UI and have to use the API or the Mist AI App.

According to the Mist documentation1, the Dashboard API is a modern,RESTfulAPI using HTTPS requests to a URL and JSON as a human-readable format. The API is available to any customer with a Mist account and is very well documented.

RESTful APIs are considered data-driven because they use HTTP methods (such as GET, POST, PUT, DELETE) to manipulate data resources on a server2. They also follow a set of design principles that make them scalable, uniform, and stateless.

According to the web search results, the Mist help menu provides direct access to feature updates and firmware updates, among other options.Feature updates are weekly updates that show the new features and enhancements that are added to the Mist platform1.Firmware updates are software updates that show the latest firmware versions for different Mist devices, along with the release notes and the features they support2.You can access these options from the Support Tickets and Documentation menu in the Mist GUI12.You can also use the ? mark in the upper right of the UI to see the latest firmware and previous production releases2.