# Functionality

AVA uses machine learning system that functions in three methods. The first method is learning process. This aspect of programming focuses on collecting data and creating rules on how to transform that data into actionable information. This is called algorithms which give step-by-step instructions on how to perform a particular task. It includes three types of machine learning algorithms such as supervised learning. The records are tagged so that patterns can be recognized and used to tag new records. Unsupervised learning. The records are unlabeled and sorted by similarities or differences. Reinforcement learning. The records are not labeled, but the AI ​​system receives feedback after performing an action or actions. Second is thought process. This aspect of programming focuses on choosing the right algorithms to achieve the desired result. Finally, the third method is self-correcting process. This aspect of is designed to continuously optimize algorithms and provide the most accurate results possible. AVA is categorized as a Strong AI, also known as artificial intelligence (AGI), describes programming that can emulate the cognitive abilities of the human brain. Given an unknown task, AVA’s systems can use fuzzy logic to apply knowledge from one domain to another, finding solutions autonomously.
