Behind every intelligent system lies an algorithm. A precise set of instructions that tells a computer how to solve a problem or make a decision. In AI, algorithms are the invisible logic that transforms raw data into predictions, insights, and actions.

Think of an algorithm as a recipe. Each step is carefully designed to process information and arrive at a specific outcome. In Machine Learning and Deep Learning, these “recipes” learn from data and adjust themselves to become smarter with time. From sorting your inbox to detecting credit card fraud, algorithms quietly power our digital routines.

Not all algorithms are created equal. Some, like decision trees, follow clear rules, others, like neural networks, infer patterns statistically. Together, they form the foundation of modern AI, guiding machines to reason, adapt, and make choices that once only humans could.