Error Detection

Error detection refers to the process of identifying and flagging errors or inconsistencies in data, systems, or processes, ensuring the accuracy and reliability of information. In the tech community, error detection is crucial for maintaining data integrity, preventing system crashes, and optimizing performance, making it a vital area of research in fields like artificial intelligence, machine learning, and data science, where accurate data is essential for model training and decision-making.