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1. Define artificial intelligence. 2. Define machine learning and deep learning. 3. Write some of the applications of AI. 4. What is the future of AI in various fields? 5. What do you understand by computer vision? 6. How do NLP works? 7. Explain the domains of AI with example. 8. What do you understand by Sustainable Development goals? 9. Name any five sustainable development goals. 10. What are the features that make a home smart? How will it affect a person’s lifestyle? 11. What have you learnt from the game of Rock, Paper and Scissors? 12. Explain the need for AI in healthcare. 13. What is problem scoping? 14. Define data exploration. 15. Define modelling. 16. Define AI bias and AI ethics. 17. Differentiate training data and testing data. 18. What are the benefits of story speaker? Explain briefly. 19. What is the scope of implementation of AI in various job roles? 20. Explain about Data Acquisition stage in AI project life cycle. 21. Explain 4Ws problem canvas. 22. Define Decision tree. 23. Explain the basic structure of Decision tree. 24. Explain the concept of AI project cycle with example. 25. List down ways of acquiring data for a project. a. Survey b. Sensor c. Web scarping d. Observation e. API f. open-sourced websites hosted by the government. |
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Answer» ong>Data exploration is an APPROACH similar to initial data ANALYSIS, WHEREBY a data ANALYST uses visual exploration to understand what is in a dataset and the characteristics of the data, rather than through traditional datamanagement systems. |
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