Understanding Causal AI Applications

Most ML developers today are not familiar with causal models. Current ML models are based on co-relation. In contrast, causal models deal with cause and effect. Furthermore, correlation-based models have limited explainability, do not handle novel situations well, and need a lot more data. Causal models overcome many of these limitations. Causal models can answer… Read More »Understanding Causal AI Applications

The post Understanding Causal AI Applications appeared first on Data Science Central.