Unit-5

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Across
  1. 1. Visualization used to interpret data trends
  2. 3. Group of data samples processed together in training
  3. 5. Input text given to an AI model to generate output
  4. 9. Vector representation of words in AI models
  5. 10. Predictive modeling technique for continuous output
  6. 13. Metric used to evaluate prediction errors
  7. 16. Popular machine learning library for Python
  8. 17. Field of AI that focuses on language understanding
  9. 18. Correct answer used during model training
  10. 19. Model that assigns categories to data
  11. 22. Process of teaching a model using data
  12. 23. Library for numerical computations in Python
  13. 25. A component in neural networks between input and output
  14. 26. One full pass through the training dataset
  15. 27. Code file that automates a task
  16. 29. Representation of learned data patterns
Down
  1. 2. Adjusting model parameters for better accuracy
  2. 4. Smallest unit of data processed in NLP
  3. 6. Learning through trial and error using rewards
  4. 7. High-level neural networks API in Python
  5. 8. Learning patterns without labeled data
  6. 11. Technology that enables machines to interpret images
  7. 12. Technology that performs tasks without human input
  8. 14. Inspired by the structure of the human brain
  9. 15. Field combining AI with mechanical devices
  10. 16. Machine learning with labeled training data
  11. 20. Using a trained model to make predictions
  12. 21. A set of rules a computer follows to solve a problem
  13. 24. Measurement of model performance
  14. 28. Measurable property used in machine learning