datascience.interview on Instagram: "Correlation ≠ causation is one of the most common mistakes in data science interviews. Study hours vs marks → correlated, not proven causal Ice cream vs drownings → correlated, not causal Strong candidates don’t jump to conclusions. They ask what’s driving the relationship and how to prove causality. 👇 How would you approach this in an interview? #datascienceinterview #statistics #datascience #machinelearning #correlationvscausation"

Tyler Wallace on Instagram: "In calculus, you are told dy/dx is not a fraction, then with separable differential equations I now can multiply both sides by dx? #calc #apcalc #diffeq #separable"