Both machine learning and predictive analytics leverage data to make future predictions, but in different ways:
What is machine learning? It is a methodology where algorithms perform a specific task without explicit instructions or predetermined rules, relying on patterns and inference instead to make predictions and recalibrate as needed.
Machine learning is further broken down into supervised and unsupervised. In supervised learning, the model building process is guided by a dedicated response variable. In contrast, unsupervised learning utilizes all variables equally as it has no dedicated target.
What is predictive analytics? It is a category of data analytics aimed at making predictions about future outcomes based on historical data and analytics techniques.