👉 In data science and machine learning, sparsities refer to the number of distinct elements in a dataset. Sparsity is often seen as a measure of how sparse or dense a dataset is, with higher values indicating more variables that are not being used for prediction. In other words, it's like having less information about the world around you. For example, if you have 1000 people and only 500 have a job, then you would have sparsity of 5