Statistics, Data Science, Analytics, Business Intelligence, Machine Learning.
article (spoiler: it starts with GLMs). If you have many possible projects to do, it can be more worthwhile to stick with GLM and return to improve the models only after you’ve gone through all the high-priority projects. A few years ago there was a viral tweet: When you’re fundraising, it’s AI.