You don't have to be an AI wizard or mathematician to use machine learning in your work. The fundamental ideas at the heart of machine learning are relatively straightforward and can be applied to a wide range of problems, including those that might seem complex or abstract. By representing posts mathematically and clustering them with K-Means, you can identify clusters of similar posts and generate suggestions for users. Machine learning is not only applicable to large abstract problems but also great at generating suggestions to help users with different workflows, such as adding tags in a project management app or assigning members of a group on a social network. With relatively high-level programming libraries like Python's Scikit Learn, books written for programmers, and online courses available, you can get started with machine learning even if you don't have extensive mathematical knowledge.