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Across
  1. 4. Data point that differs markedly.
  2. 8. Raw facts and figures.
  3. 9. Statistical method to model relationships between variables.
  4. 10. Learning Learning without labeled outputs.
  5. 12. Analytics Analytics that recommend actions.
  6. 14. Testing Controlled experiment comparing two variants.
  7. 16. Grouping similar data points without labels.
  8. 17. Analytics The science of analyzing data to make business decisions.
  9. 19. Language used to query relational databases.
  10. 21. Programming environment commonly used for statistics.
  11. 22. Learning Field of algorithms that learn from data.
  12. 27. Analytics Analytics that describe past data.
  13. 28. Predicting future values from historical data.
  14. 29. Machine learning task to assign categories.
Down
  1. 1. Proposed explanation to test.
  2. 2. Engineering Creating new model inputs.
  3. 3. Visual display of key metrics and KPIs.
  4. 5. Cleaning Process for correcting inaccurate records.
  5. 6. One variable directly affects another.
  6. 7. Measurable indicators of performance.
  7. 11. Popular programming language for analytics.
  8. 13. Analytics Analytics that forecast future outcomes.
  9. 15. Data Extremely large and complex datasets.
  10. 18. Extract, Transform, Load.
  11. 19. Selecting a subset from a population.
  12. 20. Learning Machine learning using labeled examples.
  13. 23. Graphical representation of data.
  14. 24. Measure of linear relationship between variables.
  15. 25. Abbreviation for a business key performance indicator.
  16. 26. Series Data indexed by time (e.g., daily sales).