👉 Pooling is a mathematical concept that refers to the process of dividing a dataset into smaller and more manageable parts, often referred to as "chunks" or "buckets," in order to speed up the processing time for machine learning algorithms. The idea behind this approach is to reduce the size of the data set by grouping similar values together, making it easier for the algorithm to learn from. Pooling can be applied in various contexts, including image recognition and natural language processing tasks. It's particularly useful when dealing with