{"blocks": [{"key": "ba6da944", "text": "Scenario", "type": "header-two", "depth": 0, "inlineStyleRanges": [], "entityRanges": [], "data": {}}, {"key": "da986d84", "text": "Explaining core ML concepts to non-technical stakeholders during a project discussion.", "type": "unstyled", "depth": 0, "inlineStyleRanges": [], "entityRanges": [], "data": {}}, {"key": "bcaede77", "text": "Question", "type": "header-two", "depth": 0, "inlineStyleRanges": [], "entityRanges": [], "data": {}}, {"key": "885ba78d", "text": "How would you explain linear regression to someone with no data background? When faced with a highly imbalanced dataset, what techniques would you use to build a robust model and why?", "type": "unstyled", "depth": 0, "inlineStyleRanges": [], "entityRanges": [], "data": {}}, {"key": "49e28a14", "text": "Hints", "type": "header-two", "depth": 0, "inlineStyleRanges": [], "entityRanges": [], "data": {}}, {"key": "35da365b", "text": "Avoid jargon; touch on intuition, assumptions, resampling, and algorithmic options.", "type": "unstyled", "depth": 0, "inlineStyleRanges": [], "entityRanges": [], "data": {}}], "entityMap": {}}