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SASInstitute A00-225 Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Neural Networks | 20% | - Training and tuning neural models - Neural network architecture design - Model evaluation and performance - Implementation in SAS Enterprise Miner |
| Open Source Models in SAS | 10% | - Integrating open source code with SAS - Productionalization of hybrid models - Deploying Python/R models in SAS environment |
| Logistic Regression | 30% | - Using SAS/STAT and SAS Enterprise Miner - Interpretation of results - Model building and variable selection - Model assessment and validation |
| Predictive Analytics on Big Data | 40% | - High-performance modeling techniques - SAS LASR Analytic Server and SAS Visual Analytics - Working with distributed and in-memory data - Scaling models for large datasets |
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