Data Science 면접 질문과 답변
Question: What is the difference between correlation and causation?Answer: Correlation measures the statistical association between two variables, while causation implies a cause-and-effect relationship. Correlation does not imply causation, and establishing causation requires additional evidence.Example:
|
복습용 저장
이 항목을 북마크하거나, 어렵게 표시하거나, 복습 세트에 넣을 수 있습니다.
도움이 되었나요? 예 아니요
Most helpful rated by users:
- What is the primary goal of Data Science?
- What is Data Science?
- Please provide some examples of Data Science.
- Explain the ROC curve and its significance in binary classification.