MACHINE LEARNING

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Across
  1. 6. The primary task of categorizing visual data into distinct groups.
  2. 7. The evaluation stage used to check the system's accuracy.
  3. 9. The final software program where the system is deployed.
  4. 10. The act of combining the trained algorithm into the final software.
Down
  1. 1. The collection of gathered images used to teach the system.
  2. 2. The metric being evaluated to see how well the system operates.
  3. 3. The phase where the algorithm learns from the provided dataset.
  4. 4. The process of formatting and cleaning gathered data before use.
  5. 5. The final quality assurance check to ensure everything works together.
  6. 8. The core algorithm that undergoes the training process.