Lassi Liikkanen shows 3 key applications: detection, prediction, and generation.

Jon Bruner gives a good example: A genetic algorithm starts with a fundamental description of the desired outcome — say, an airline’s timetable that is optimized for fuel savings and passenger convenience.

A great visual overview of machine learning basics by Stephanie Yee and Tony Chu.