Artificial Intelligence (AI) refers to the simulation of human intelligence processes by machines, especially computer systems. AI encompasses various technologies such as machine learning, natural language processing, and computer vision.
For this presentation, I will focus on machine learning, which is a subset of AI that enables systems to learn and improve from experience without being explicitly programmed. Machine learning algorithms analyze data, identify patterns, and make decisions with minimal human intervention.
Machine learning is used in a wide range of applications, including recommendation systems (such as those used by Netflix and Amazon), autonomous vehicles, fraud detection, and predictive analytics. It is used to automate tasks, optimize processes, and make predictions based on data.
Machine learning is valuable because it can process massive amounts of data quickly and efficiently, leading to more informed decision-making and improved outcomes. Its ability to adapt and learn from new data makes it a powerful tool in various industries, from finance and healthcare to marketing and cybersecurity.