👉 Overnormalizing is a method used in machine learning and statistics to normalize data so that it can be more easily compared or analyzed. It involves dividing each value of the input data by its corresponding maximum absolute value, which can help ensure that the values are comparable across different datasets. This process is useful when comparing two sets of data, as it ensures that the values in both sets have equal weight. For example, if we were comparing two sets of data with different numbers of samples, overnormalizing
