Across
- 2. AI - AI systems designed to perform specific tasks, such as facial recognition or language translation.
- 4. Learning - A technique where a model developed for one task is reused for another related task.
- 6. Process Automation - The use of software robots to automate routine tasks typically performed by humans.
- 8. - Referring to systems or robots that can operate independently without human intervention.
- 11. Computing - A computing model that processes data near the source rather than relying on a centralized data center.
- 13. Ethics - The study of moral implications and responsibilities associated with the development and use of AI.
- 16. Analytics - Techniques that use statistical algorithms to predict future outcomes based on historical data.
- 18. Learning - A learning paradigm where agents learn to make decisions by receiving rewards or penalties.
- 20. Learning - A type of machine learning that uses multiple layers of neural networks to analyze complex data.
- 21. - A software application that simulates conversation with users, often using natural language processing.
- 23. - The branch of technology dealing with the design and application of robots for various tasks.
- 24. Language Processing - A field of AI focused on the interaction between computers and human language.
- 25. Set - A dataset used to evaluate the performance of a machine learning model during training.
- 26. Learning - A type of machine learning that identifies patterns in data without predefined labels.
- 27. Network - A computational model inspired by the human brain, used to recognize patterns and make decisions.
- 29. AI - A hypothetical form of AI that can understand, learn, and apply intelligence across a wide range of tasks.
- 30. Extraction - The process of selecting and transforming raw data into a format suitable for machine learning.
Down
- 1. Vision - An area of AI that enables machines to interpret and understand visual information from the world.
- 3. - The process of using a trained model to make predictions or decisions based on new data.
- 5. Adversarial Network - A class of machine learning frameworks where two neural networks compete to improve their output.
- 7. Learning - A type of machine learning where the model is trained on labeled data.
- 9. Learning - A subset of AI that enables systems to learn and improve from experience without being explicitly programmed.
- 10. Web - An extension of the World Wide Web that enables data to be shared and reused across applications.
- 12. - A modeling error that occurs when a machine learning model learns noise in the training data instead of the actual pattern.
- 14. Analysis - The use of natural language processing to determine the emotional tone behind a series of words.
- 15. Set - A collection of data used to train a machine learning model.
- 17. AI - AI systems designed to provide human-understandable explanations for their decisions and actions.
- 19. - A step-by-step procedure or formula for solving a problem or performing a task.
- 22. Mining - The process of discovering patterns and knowledge from large amounts of data.
- 28. - Basic units in a neural network that process input data and pass on signals to other neurons.