Tools and Techniques
You might not like where this goes but it sure is well done. This article by Trevor Martin uses a technique called latent semantic analysis to characterize activity on Reddit in a way that allows posts to be compared and quantified. This is a super interesting read.
Customer segmentation helps to identify different types of customers in your data. That can be useful to figure out which customers you might want more of and potentially, how to get them. This is a nice introduction to customer segmentation using K-Means clustering.
Graph analytics offers insights about the relationships between entities and interconnected objects. This step-by-step tutorial offers an overview of graph analytics, its uses, and how to get started with Python.
Transfer knowledge allows ML algorithms to transfer knowledge from one task to another. Andrew Ng has called it the next driver for machine learning commercial success. This article is a great overview of what transfer learning is, how it works, and applications.