Tools and Techniques
Deriving value from data isn't always successful and, in fact, well-meaning efforts often fail. In this post, Brian Balfour describes the four phases of data death spirals and how to break free. The key problems? They're probably not what you think.
We often think of optimization with momentum as a ball rolling down a hill. This isn't wrong, but there is much more to the story. This interactive article is from the new Distill publication and even if you're not interested in the topic, it's really an impressive experience.
When your data changes, how will you know? assertr is an R package to help you identify common dataset errors. More specifically, it helps you spell out your assumptions about how the data should look and alert you of any deviation from those assumptions.
Here's a well-organized introduction to the machine learning landscape.