Smoothing algorithms

Smoothing algorithms are techniques used to enhance the clarity of data by reducing noise or fluctuations. Imagine you have a bumpy road and want to create a smoother path; smoothing algorithms work similarly by adjusting data points to create a more consistent and clearer trend. They are commonly applied in statistics, signal processing, and machine learning to help identify underlying patterns, make predictions, or visualize data more effectively. By averaging or filtering out erratic variations, these algorithms provide a clearer picture, allowing for more informed decisions based on the refined information.