Sparse causal discovery turns large, summarized datasets into interpretable maps of influence and causality. Algorithms like LASSO regression and Bayesian networks help identify subtle, high-impact variables. By focusing on the most meaningful connections, data scientists can make predictions with greater confidence. This skill is essential for tackling real-world problems in healthca... https://buymeacoffee.com/excelrposts/finding-hidden-causes-crowd-sparse-causal-discovery-summarized-data