Business Analytics Roll 25421 Prajkta Jawanjal

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Across
  1. 2. Comparing two versions to find a winner
  2. 4. Considerations around responsible data use
  3. 5. Variance tradeoff / systematic error in models
  4. 8. Algorithms that learn patterns from data
  5. 10. Measure of likelihood of events
  6. 11. Layered model inspired by biological neurons
  7. 12. Controlled tests to compare alternatives
  8. 13. Formal statement tested with data
  9. 15. Grouping similar observations without labels
  10. 18. Curse when features outnumber samples
  11. 19. Fundamental branch for describing and summarizing data
  12. 21. Applying statistical methods to economics
  13. 28. Tools and practices for reporting
  14. 31. Learning without labeled outputs
  15. 32. Forecasting future values from past data
  16. 33. Assigning items to predefined categories
  17. 34. Analysis of data indexed in time order
  18. 35. Ensemble of decision tree models
  19. 36. Assessing model performance on new data
  20. 38. Technique for predicting a continuous outcome
Down
  1. 1. Graphical representation of data insights
  2. 3. Centralized repository for integrated data
  3. 6. Extremely large datasets needing special tools
  4. 7. Determining positive or negative opinion in text
  5. 9. On-demand compute and storage services
  6. 14. Process of finding best possible solution
  7. 16. Structured query language for databases
  8. 17. General-purpose language used for data analysis
  9. 19. Learning with labeled training data
  10. 20. Principal component analysis for dimensionality_reduction
  11. 22. Programming language popular for statistics
  12. 23. Extracting insights from unstructured text
  13. 24. Discovering patterns in large datasets
  14. 25. Extract, transform and load (data pipeline step)
  15. 26. Neural-network-based machine learning approach
  16. 27. Statistical approach using prior beliefs
  17. 29. Real-time processing of continuous data flows
  18. 30. Tree-shaped predictive model
  19. 37. Visual displays of key performance metrics