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Databricks Databricks-Certified-Professional-Data-Scientist Exam Syllabus Topics:
Topic | Details |
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Topic 1 | - A complete understanding of basic machine learning algorithms and techniques
- Unsupervised techniniques like K-means and PCA
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Topic 2 | - A complete understanding of the basics of machine learning model management
- Linear, logistic, and regularized regression
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Topic 3 | - Specific algorithms like ALS for recommendation and isolation forests for outlier detection
- Logging and model organization with MLflow
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Topic 4 | - A intermediate understanding of the steps in the machine learning lifecycle
- Model training, selection, and production
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Topic 5 | - Tree-based models like decision trees, random forest and gradient boosted trees
- Categories of machine learning
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Topic 6 | - A complete understanding of the basics of machine learning
- in-sample vs. out-of sample data
|
Reference: https://credentials.databricks.com/group/227970