Regression in machine learning can help organizations forecast and make better decisions. Nick Kramer was featured in this TechTarget article talking about the significance and application of regression in business.
Nick explains the importance of regression in machine learning, “Regression is an essential concept not only for machine learning experts, but also for all business leaders, as it is a foundational technique in predictive analytics. Regression is commonly used for many types of forecasting; by revealing the nature of the relationship between variables, regression techniques give businesses insight into key issues, such as customer churn, price elasticity and more”
He continues, outlining the applications for regressions in business, “Regression models will obediently produce an answer, but can hide inaccuracies or oversimplification, and a wrong prediction is often worse than no prediction. It’s important to understand that one approach might work better than others, depending on the problem.”
