Consider a basic decision tree. The model starts at the root node, then moves or splits to the next node on a clear journey based on its previous path. Finally, it arrives at an outcome or leaf node.

Machine learning uses algorithms to turn a data set into a model that can identify patterns or make predictions from new data. Which algorithm works best depends on the problem.

Many people don’t trust algorithms and machine learning because they don’t have a complete understanding of how they actually work. Let's break it down.