This repository aggregates academic survey papers on machine learning topics to help practitioners keep up with the field. It organizes papers by topic areas including recommendation systems, deep learning architectures, natural language processing, computer vision, reinforcement learning, graph methods, and embeddings. The collection serves as a reference resource for researchers and engineers seeking overview papers on various ML subfields.