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SASInstitute A00-480 Exam Syllabus Topics:
| Section | Objectives |
|---|---|
| Machine Learning Fundamentals | - Supervised learning concepts - Overfitting and bias-variance tradeoff - Model evaluation metrics |
| Inferential Statistics | - Confidence intervals and estimation - Hypothesis testing principles |
| Statistical Foundations | - Probability concepts and distributions - Descriptive statistics and data summarization |
| Regression and Predictive Modeling | - Linear regression modeling - Model interpretation and diagnostics |
