Ghanwat.k_ lab 4b

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Across
  1. 3. Collection of data used to train machine learning models
  2. 5. When a model learns training data too well and fails on new data
  3. 6. Step-by-step procedure for solving a problem or performing a task
  4. 8. Systematic error in predictions or unfairness in model outcomes
  5. 9. Architecture revolutionizing NLP with attention mechanisms
  6. 13. Subset of machine learning using multi-layered neural networks
  7. 14. Using separate data to tune model parameters and prevent overfitting
Down
  1. 1. Task of categorizing data into predefined classes or groups
  2. 2. Process of teaching a model to recognize patterns in data
  3. 4. A computing system inspired by biological brain structure
  4. 7. Mathematical concept measuring rate of change in optimization
  5. 10. Prediction task involving continuous numerical output values
  6. 11. Learning approach where the model is trained with labeled examples
  7. 12. Multi-dimensional array used in modern ML frameworks