Beyond Machine Learning: Capturing Cause-and-Effect Relationships
Irving Wladawsky-Berger
JANUARY 7, 2019
Deep learning is a powerful statistical technique for classifying patterns using large training data sets and multi-layer AI neural networks. 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. Why are there such universal human activity patterns?
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