We tend to think about learning curves as neat, smooth, repeatedly upwards-trending lines. Look close enough at any learning journey, though, and also you’ll see quite a few dips and plateaus along the way in which: in point of fact, even seasoned professionals feel like beginners when faced with a brand new tool or workflow.

This week, we’ve put together a few of our favourite recent tutorials and introductory guides. They arrive with only a few—if any—prerequisites for data and ML practitioners; they cover very different topics, from deep learning to anomaly detection, but share a robust commitment to patient explanations, concrete details, and expert contextualization. So should you end up in a learning lull, pick any of our highlights below: they’re certain to show you how to snap right out of it.