Data patterns are extracted as quantitative measurements from raw data, structured or unstructured, using standard machine and deep learning methods. This is applicable for both basic algorithms such as logistic regression and more complex algorithms such as neural networks, which may understand deeper patterns from inputs. But there’s a big BUT, and it’s a catastrophic … Continue reading Causal learning vs. deep learning: on a fatal flaw in machine learning | BBN Times