Basically, machine learning is a predictive analytics branch. Despite having similar aims and processes, there are two main differences between them:
- Machine learning works out predictions and recalibrates models in real-time automatically after design. Meanwhile, predictive analytics works strictly on “cause” data and must be refreshed with “change” data.
- Unlike machine learning, predictive analytics still relies on human experts to work out and test the associations between cause and outcome.