Data Science

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Across
  1. 2. Clustering algorithm that groups data into k clusters
  2. 4. The instruction given to a language model
  3. 5. Metric to measure prediction error
  4. 8. Collection of structured or unstructured data
  5. 11. One complete pass through the training dataset
  6. 14. Retrieval-augmented generation in LLMs
  7. 15. Clue
  8. 17. Brain-inspired model used in deep learning
  9. 19. Vector of partial derivatives in optimization
  10. 20. Learning via rewards and penalties
Down
  1. 1. How neural networks learn through gradient descent
  2. 3. A group of models making predictions together
  3. 4. Python library for data manipulation and analysis
  4. 6. Normalizing or standardizing data for ML models
  5. 7. Distributed version control system
  6. 9. Area under the ROC curve
  7. 10. When your model knows the training set too well
  8. 12. An ML library famous for dynamic computation graphs
  9. 13. High-performance gradient boosting library
  10. 16. A resampling method to test model performance
  11. 18. Prevents overfitting by adding penalty terms