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