Beyond Machine Learning: Capturing Cause-and-Effect Relationships
JANUARY 7, 2019
Deep learning is a powerful statistical technique for classifying patterns using large training data sets and multi-layer AI neural networks. Each successive layer in a multi-layer network uses the output from the previous layer as input. Machine learning is a statistical modelling technique, like data mining and business analytics , which finds and correlates patterns between inputs and outputs without necessarily capturing their cause-and-effect relationships.