In this section, we’re cautioned against common mistakes that even capable candidates make during ML interviews. By knowing what to avoid, we can better showcase our understanding with clarity, relevance, and maturity.
We avoid math without context—using complex terms without explaining their real-world application often hurts more than it helps.