With most people transitioning from traditional software engineering practice to ML, it is important to understand the underlying difference between both areas. Superficially, both of these areas seem to generate some sort of code to perform a particular task. An interesting fact to observe is that, unlike software engineering where a programmer explicitly writes a program with various responses based on several conditions, the ML algorithm infers the rules of the game by observing the input examples. The rules that are learned are further used for better decision making when new input data is fed to the system.
As you can observe in the following diagram, automatically inferring the actions from data without ...
