Data Science, Causal Inference, Linear Regression, Getting Started, Ab Testing.
Bad controls Machine learning tasks are often straightforward: you gather data with all possible features you can get, try to fit some models, compare their performance and pick the best one. Contrarily, causal inference requires some art and a deep understanding of the process you’re working with.