Across
- 5. a supervised learning task that involves predicting a continuous output variable based on input features
- 6. a separate subset of data used to assess the performance of a trained machine learning model
- 8. a subset of AI that enables systems to learn from data and improve their performance over time without being explicitly programmed
- 10. an unsupervised learning technique that groups similar data points together based on their characteristics
- 12. techniques that use statistical algorithms and machine learning to identify the likelihood of future outcomes based on historical data
- 13. a subset of data used to train a machine learning model
- 14. a subset of data used to tune the parameters of a machine learning model and prevent overfitting
- 15. specialized form of machine learning involving neural networks with many layers that can learn complex patterns in large amounts of data
Down
- 1. a modeling error that occurs when a machine learning model learns the training data too well
- 2. the process of analyzing large datasets to discover patterns and extract meaningful information
- 3. the process of assessing how well a machine learning model performs
- 4. the process of selecting, modifying, or creating variables to improve the performance of ML models
- 7. a supervised learning task where the goal is to assign input data into predefined categories
- 9. the simulation of human intelligence processes by machines
- 11. a computational model inspired by the way biological neural networks in the human brain work
