Explain the concept of outlier detection.

Mon, 29 Jan 2024 10:33:33 +0000

Outlier detection, otherwise called peculiarity detection, is a key concept in data examination, measurements, and AI, aimed toward distinguishing strange or rare things, occasions, or perceptions that raise doubts by contrasting fundamentally from most of the data. These outliers can be because of fluctuation in the estimation or may demonstrate exploratory mistakes, and now and again, they can be marks of huge discoveries or framework issues. The detection of outliers is essential across different areas like extortion detection in banking, interruption detection in online protection, shortcoming detection in modern frameworks, and abnormality detection in network traffic or IoT gadgets. Data Science Training in Pune