Design patterns in machine learning - KDnuggets

According to its definition, a design pattern is a reusable solution to a commonly occurring problem. In software engineering, the concept dates back to 1987 when Beck and Cunningham started to apply it to programming. By the 2000s, design patterns -- especially the SOLID design principles for OOP -- were considered common knowledge to programmers. Fast forward 15 years and we arrive at the era of Software 2.0: machine learning models start to replace classical functions in more and more places of code. Today, we look at software as a fusion of traditional code, machine learning models and the underlying data.