Guest Post By Galeon: Understanding The Varieties Of Artificial Intelligence And Learning Approaches: Finally, A Comprehensive Overview 😉🔎

Artificial Intelligence (AI) has transformed the way we live and work, and can be divided into sub-categories based on its application and learning methods, such as machine learning, deep learning, natural language processing, robotics, expert systems, and fuzzy logic. It uses three main learning methods: supervised learning, unsupervised learning, and reinforcement learning. Deep learning, a sub-category of machine learning, uses artificial neural networks to process complex data and create deeper models. Robotics applies AI to robots, expert systems mimic human expertise in decision-making, and fuzzy logic enables computers to process information that isn’t strictly true or false. AI has made remarkable strides in various fields, from healthcare to transportation.