Across
- 1. Programming language most used in AI and ML.
- 4. ML algorithm that combines multiple weak models.
- 6. Memory unit that temporarily stores data during execution.
- 9. Library for data visualization in Python.
- 10. Algorithm that selects pivot elements to sort data.
- 12. Device that executes program instructions
- 14. Non-relational, schema-less database type.
- 15. Keyword used to define a function in Python.
- 17. Function that calls itself repeatedly.
- 20. Technique used to reduce the number of input features.
- 22. Technique that prevents overfitting by ignoring neurons randomly
- 23. Operation used to combine branches in Git.
- 24. The operator used to access elements in an array.
- 25. ML algorithm that separates data using decision boundaries.
- 26. ML model where one model’s output is used as another’s input.
- 27. Logical operator that returns True only if both conditions are true.
Down
- 2. The core component in PyTorch used to define neural models.
- 3. Python library mainly used for numerical computing.
- 4. Search algorithm that explores nodes level by level.
- 5. Concept where an AI model performs well on training data but poorly on unseen data.
- 7. Virtual machine that allows Java programs to run on any platform.
- 8. A structure that stores data in key-value pairs.
- 10. A data structure that follows First-In-First-Out.
- 11. Neural network activation function that outputs input if positive, else 0.
- 13. ML model that uses labeled data to train.
- 15. The process of finding and fixing code errors
- 16. Process of converting text into numerical form.
- 18. Programming paradigm where data and functions are in objects.
- 19. Storage format using key-value pairs, often in APIs.
- 21. Optimization algorithm for training deep networks.
