Causal AI in Data Science: Understanding Why Things Happen
Data science has become an important part of modern decision-making. Businesses, researchers, and organizations use data to identify trends, predict future outcomes, and understand changing patterns. However, predicting what might happen does not always explain why it happens. This is where Causal AI in Data Science becomes valuable. Causal AI focuses on understanding cause-and-effect relationships
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