Bridging the Gap: Integrating Causal Inference with Deep Learning

In recent years, deep learning has driven remarkable advancements in artificial intelligence, enhancing capabilities in areas ranging from image recognition to natural language processing. However, deep learning models, despite their prowess, often struggle with understanding the underlying causality in data. This is where integrating causal inference with deep learning becomes crucial. This video explores this integration, its challenges, and its potential impact on AI.