👉 Cogman is a type of machine learning algorithm that was developed by the University of California, Berkeley. It's an extension of the traditional neural network architecture and focuses on optimizing the performance of machine learning models in a more efficient way. Unlike traditional neural networks, which use multiple layers to process data, cogman uses only one layer (a single hidden layer) with weights learned from training data. Cogman is particularly useful for tasks where high-dimensional data needs to be processed quickly and efficiently,