ML Associate Study Puzzle

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Across
  1. 6. Scaling features to a standard range
  2. 8. A characteristic of a dataset
  3. 9. Row-based format
  4. 10. Systematic error in model predictions
  5. 12. Subset of ML using multiple layers of neural networks
  6. 14. Used to predict numerical values
  7. 15. Model's prediction
  8. 16. 2D array of values
  9. 18. Anomaly detection algorithm
  10. 19. Random variation in data
Down
  1. 1. When a model learns training data too well, making it perform poorly on new unseen data
  2. 2. dimensionality reduction technique
  3. 3. Learning through rewards
  4. 4. One complete pass through the training dataset
  5. 5. Group of training samples
  6. 6. Single unit in neural network
  7. 7. Performance visualization curve
  8. 11. Categorizing inputs into discrete classes
  9. 13. Hardware that speeds up ML training
  10. 17. Columnar format