Across
- 2. A parameter that influences the importance of an input in artificial neural networks.
- 4. A learning approach where an agent improves its performance by interacting with an environment and receiving feedback.
- 6. (3Words) A collection of neurons in an artificial neural network that performs specific computations on input data.
- 9. A machine learning approach where the model identifies patterns in unlabeled data.
- 11. (2Words) A subset of AI that allows systems to learn and improve from experience without explicit programming.
- 13. The connection between two nodes in a graph.
- 15. (2Words)A technique where the model interacts with an oracle (e.g., human expert) to obtain specific data points.
- 16. A statistical method used in machine learning to predict continuous outputs based on input variables.
- 19. When a model is too simple to capture the underlying patterns in data.
- 20. A structure consisting of nodes and edges used to model pairwise relationships.
- 21. (2Words) The dataset used to train machine learning models.
- 24. (2Words) A function in a neural network that decides whether a neuron should activate or not.
- 25. (3Words) A computational model inspired by the human brain, used for tasks like pattern recognition and classification.
- 26. A scenario where a model learns the training data too well, including noise, reducing its performance on unseen data.
- 27. (2Words) The minimum route between two nodes in a graph, calculated by algorithms like Dijkstra's.
- 28. (2Words) A branch of machine learning that uses multi-layered neural networks to analyze data.
- 29. A single pass through the entire training dataset during the learning process.
- 30. (2Words)Data used to evaluate the performance of a machine learning model after training.
Down
- 1. A type of machine learning where the model is trained on labeled data.
- 3. A machine learning technique that assigns input data to predefined categories.
- 5. A practical approach to problem-solving that uses trial and error or educated guesses.
- 7. (2Words)An optimization algorithm used in machine learning to minimize errors by adjusting model parameters.
- 8. A process in AI that determines the shortest route between two locations.
- 10. A fundamental unit in a graph where edges meet.
- 12. (2Words) A method in machine learning for training artificial neural networks by propagating errors backward.
- 14. (2Words) A branch of computer science that focuses on creating systems capable of performing tasks that require human intelligence.
- 17. The dataset used to tune hyperparameters and ensure model accuracy.
- 18. (2Words)A hyperparameter that determines the step size during gradient descent optimization.
- 22. (2Words) A shortest path algorithm that finds the minimum distance between nodes or vertices in a graph.
- 23. An improved version of Dijkstra's algorithm that uses heuristics to find the shortest path more efficiently.