Across
- 5. The process of confirming that a model performs adequately on unseen data.
- 6. The practice of collecting, analyzing, interpreting, and presenting masses of numerical data.
- 8. The process of selecting a subset of the population to represent the entire population.
- 10. A sequence of data points indexed, most often, by time.DASHBOARD A graphical user interface that presents a concise summary of key performance indicators (KPIs).
- 14. A statement in a statistical test that there is no difference or no effect.
- 21. DATA Extremely large and complex datasets often characterized by the three V's.
- 23. A large repository of integrated data collected from disparate sources to support business intelligence.
- 25. Branch of statistics that makes conclusions about a population based on a sample.
- 26. A data point that is significantly distant from other observations.
- 27. Graphical representation of data for easy understanding.
- 29. An unsupervised learning technique for grouping similar data points together.
- 30. Quantitative data or metrics stored in a data warehouse, like sales or profits.
- 31. A measurable value that demonstrates how effectively a company is achieving key business objectives. (Acronym only)
- 32. LEARNING A branch of AI that allows systems to learn from data without explicit programming.
Down
- 1. Extremely large and complex datasets often characterized by the three V's.
- 2. An unsupervised learning technique for grouping similar data points together.
- 3. MINING The process of discovering patterns in large datasets.
- 4. The mathematical process of finding the best solution for a problem given certain constraints.
- 7. Statistical method used to model the relationship between a dependent and one or more independent variables.
- 9. NETWORK A set of algorithms, modeled after the human brain, designed to recognize patterns.
- 11. A supervised learning technique for categorizing new observations into a set of discrete classes.
- 12. Descriptive information in a data warehouse, such as product or customer details.
- 13. INTELLIGENCE Technology-driven process for analyzing data and presenting actionable information to help executives.
- 15. Type of analytics that forecasts future outcomes.
- 16. Acronym for the process of extracting, transforming, and loading data into a data warehouse.
- 17. A modeling error where a function is too closely fit to a limited set of data points.
- 18. The process of creating a simplified representation of a real-world system.
- 19. Type of analytics that suggests optimal actions.
- 20. Type of analytics that summarizes what has happened.
- 22. A statistical measure that describes the extent to which two variables are linearly related.
- 24. The overall management of the availability, usability, integrity, and security of data in an enterprise.
- 28. WAREHOUSE A large repository of integrated data collected from disparate sources to support business intelligence.