The best writing on math and stats pulls off a difficult feat: it takes lofty concepts and complex formulas and connects them to the practical challenges data professionals tackle in their daily jobs.
Some data scientists love sinking their teeth into new math topics, while others tiptoe into this field with caution, if not downright reluctance. No matter where you find yourself on this spectrum, we think you’ll enjoy our selection of articles this week. From the inner workings of A/B tests to graph theory and statistical experiments, they effortlessly blend the theoretical and the pragmatic, the abstract and the concrete. Let’s dive in.
This post originally appeared on TechToday.