“Artificial intelligence (AI) is the broadest term. It refers to creating computer systems that can do tasks that usually require human intelligence. This doesn't mean machines think like humans, but they can process information, spot patterns, and make decisions in ways that seem smart. Machine learning is a smaller part of AI. If AI is the big idea of making intelligent systems, machine learning is the method that helps computers learn from data without needing to be programmed for every task. It is like teaching a child to recognize different fruits. Instead of listing every detail of an apple, you show them many apples, and they learn to recognize them. Machine learning works the same way by letting computers study large amounts of data to find patterns. Deep Learning is an even more specialized type of machine learning. It uses what we call neural networks, computer systems designed to work a bit like the human brain. These networks have multiple layers that can recognize increasingly complex patterns. The "deep" in deep learning refers to these multiple layers of processing. An algorithm is like a recipe for solving a problem. In AI, algorithms are sets of step-by-step instructions that help computers process information, make decisions, or learn from data. Just as a recipe shows you how to prepare a dish, an algorithm tells a computer how to handle a specific task.”