Machine Learning at Square: Balancing Complexity and Collaboration

This chapter delves into the machine learning strategies employed at Square, focusing on the use of simple models before transitioning to more complex ones like RNNs and CNNs. The discussion highlights the synergy between engineers and product teams in embedding machine learning capabilities, as well as the importance of data quality and collaboration across teams. Additionally, the chapter touches on the democratization of machine learning through accessible tools and the integration of practical applications derived from academic research.