Describe the purpose of normalizing data? - Answers

Normalizing data is the process of adjusting values in a dataset to a common scale, without distorting differences in the ranges of values. This is typically done to improve the performance of machine learning algorithms, ensuring that features contribute equally to the distance calculations and model training. By normalizing data, you can enhance model convergence speed and accuracy, as well as facilitate better comparisons between different datasets or features.