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.
Answers
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.
2. Machine learning uses algorithms to parse data, learn from that data, and make informed decisions based on what it has learned. Deep learning structures algorithms in layers to create an "artificial neural network” that can learn and make intelligent decisions on its own.
3. Following are some sectors which have the application of Artificial Intelligence:
AI in Astronomy. Artificial Intelligence can be very useful to solve complex universe problems. ...
AI in Healthcare. ...
AI in Gaming. ...
AI in Finance. ...
AI in Data Security. ...
AI in Social Media. ...
AI in Travel & Transport. ...
AI in Automotive Industry.
4.The scope of AI in data analytics is rising rapidly. Another example of AI applications in this sector is predicting outcomes from data. Such systems use the analytics data to predict results and the appropriate course of action to achieve those results. Learn more about AI applications.
5. Computer vision is an interdisciplinary scientific field that deals with how computers can gain high-level understanding from digital images or videos. From the perspective of engineering, it seeks to understand and automate tasks that the human visual system can do.