Overview of Supervised Machine Learning Algorithms

There are so many machine learning algorithms out there, and we can find different kinds of overviews and cheat sheets. When trying to connect the dots of the multitude of machine learning algorithms, I discovered is that there are often several approaches to build/understand an algorithm. There is no better way, and each approach allows us to understand one aspect. One approach can be easier than another depending on what you already know. My aim in this article is to find a meaningful way to connect them.