The results achieved by advanced machine learning algorithms may seem mind-blowingly mysterious to outsiders, but careful data set programming makes them possible. They involve things like understanding how the finished algorithm would ideally work, sourcing appropriate information, and preparing it to remove errors. Here are some critical steps to take when creating a data set to program an effective machine learning algorithm. 

1. Take Time to Understand and Define the Problem or Question

People normally develop machine learning algorithms because they need to solve a problem or answer a pressing question. Consider an example where an e-commerce retailer wants to know which products will most likely prompt shoppers to rebuy an item. In that case, the machine algorithm would likely include data about consumers’ past purchases and any other notable buying trends.