BigDataFr recommends: The Ultimate Guide for Choosing Algorithms for Predictive Modeling
[…] There are three ways to look at data. The first is analytics. This is when you look at data from the (potentially very recent) past. Think analytics. It allows you to explore the questions what happened and why did it happen? The second is monitoring. This is looking at things as they happen. In many cases, monitoring is used to find abnormalities. Finally, there is predictive analytics. This is looking at data in a way that helps make predictions about what might happen in the future.
Basically, predictive analytics is what drives the actions that make the changes which will, in turn, be monitored by the analytical phase. As you build your predictive analysis model, you will have various algorithms that you can select in the categories of machine-learning, data-mining, and statistics. Once you know more about your data, and what you want to accomplish, making this decision will become a bit easier. […]