{"blocks": [{"key": "5e8fc2a1", "text": "Scenario", "type": "header-two", "depth": 0, "inlineStyleRanges": [], "entityRanges": [], "data": {}}, {"key": "6b6d483a", "text": "Rapid-fire session with CIO on machine-learning fundamentals", "type": "unstyled", "depth": 0, "inlineStyleRanges": [], "entityRanges": [], "data": {}}, {"key": "fd51d8b1", "text": "Question", "type": "header-two", "depth": 0, "inlineStyleRanges": [], "entityRanges": [], "data": {}}, {"key": "2a6fd26d", "text": "Explain the bias–variance trade-off. Define overfitting and underfitting and give prevention techniques. What is regularization and how do L1 and L2 differ? Describe k-fold cross-validation and why it is useful. List key assumptions behind linear regression.", "type": "unstyled", "depth": 0, "inlineStyleRanges": [], "entityRanges": [], "data": {}}, {"key": "fda528ef", "text": "Hints", "type": "header-two", "depth": 0, "inlineStyleRanges": [], "entityRanges": [], "data": {}}, {"key": "75d93097", "text": "Be concise, include equations where appropriate.", "type": "unstyled", "depth": 0, "inlineStyleRanges": [], "entityRanges": [], "data": {}}], "entityMap": {}}