For Machine Learning Beginners: A Source for Core Concepts

To solve machine learning problems, there is a wide range of different techniques and methods required, some suited better than others. As a data scientist it can be difficult to encapsulate all of them, and choose which work best for specific scenarios. If one is starting out in this space, it suits to understand the different algorithms and core concepts that make up the different aspects of Machine Learning. A recent machine learning glossary created by Brendan Fortuner, titled the "Machine Learning Cheatsheet" provides "brief visual explanations of machine learning concepts with diagrams, code examples and links to resources for learning more." Novices or users new to machine learning can learn many aspects to the foundations and basics of the space via the brief explanations in this guide.