Across
- 3. An input variable used to train a model.
- 4. The middle value in an ordered dataset.
- 5. The arithmetic average of a set of values.
- 9. a "mean" guy.
- 11. A measurable characteristic that can change.
- 12. Likelihood that an event will occur.
- 15. C__________________ analytics.
- 22. Audacious ________________.
- 23. _________________ Data Analysis.
- 25. Process of teaching a machine learning model.
- 26. Technique used to predict continuous values.
- 28. V________________ analytics.
- 29. A testable assumption about data.
- 30. _________________ & infrastructure.
Down
- 1. Breaking down text or sentences into component parts.
- 2. Ensemble of multiple decision trees.
- 6. A distribution that has no skew.
- 7. Step-by-step procedure used to solve a problem.
- 8. Measure of how spread out data points are.
- 10. Multiple data spreads.
- 13. The target value a model is trying to predict.
- 14. Deep learning architecture powering modern large language models.
- 16. Head of Data of Science.
- 17. Using a trained model to generate outputs.
- 18. The most frequently occurring value.
- 19. Evaluating model performance on unseen data.
- 20. Collection of data used for analysis or modeling.
- 21. Mathematical representation used to make predictions.
- 24. To forecast a future outcome based on current data.
- 27. _______________ is all you need.