anomalies detection

Anomaly detection involves identifying data points or patterns that deviate significantly from the norm or expected behavior. It helps flag unusual activities, such as fraudulent transactions, network breaches, or equipment failures. By analyzing data trends and comparing new data against typical patterns, systems can automatically spot these anomalies. This process is useful across many fields for early problem detection, security, and maintaining quality, ensuring that unusual or potentially harmful cases are addressed promptly.