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Databricks Databricks-Certified-Professional-Data-Scientist Exam Syllabus Topics:

TopicDetails
Topic 1
  • A complete understanding of the basics of machine learning
  • in-sample vs. out-of sample data
Topic 2
  • Specific algorithms like ALS for recommendation and isolation forests for outlier detection
  • Logging and model organization with MLflow
Topic 3
  • Tree-based models like decision trees, random forest and gradient boosted trees
  • Categories of machine learning
Topic 4
  • Applied statistics concepts
  • bias-variance tradeoff
Topic 5
  • A complete understanding of the basics of machine learning model management
  • Linear, logistic, and regularized regression
Topic 6
  • A intermediate understanding of the steps in the machine learning lifecycle
  • Model training, selection, and production

Reference: https://credentials.databricks.com/group/227970

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