How Artificial Intelligence Learns from Data
Artificial Intelligence (AI) learns from data by identifying patterns and relationships within large amounts of information. At the beginning, raw data such as images, text, or numbers is collected and prepared. This data is then fed into algorithms, which are sets of rules that help the AI analyze and process the information. Through training, the AI compares its predictions with correct answers and adjusts its internal parameters to reduce errors. This process allows the system to gradually improve its accuracy and performance.Over time, the more data the AI receives, the better it becomes at making predictions or decisions. For example, an AI trained on thousands of pictures can learn to recognize objects by noticing common features like shapes and colors. This learning process is often repeated many times, enabling the AI to adapt and handle new data it has never seen before. As a result, data plays a crucial role in helping AI systems become smarter and more reliable in real-world applications. Shutdown123