Better data predictions: an introduction to causal inference
While ML is great at finding correlations within data, it often struggles to differentiate between when something is intrinsically causing something to happen, and when it is simply coincidental. Causal inference (CI), The scientific discipline that deals with the relationship of cause and effect within data, is important in that it succeeds where ML so often fails.
In this e-book, Dataiku gives a thorough analysis of CI, explaining how it works, why it is important, and how it is being used by businesses to fuel better predictive analyses.
Access the full PDF and see how CI surpasses ML in its ability to account for the what-ifs of the future.