Page 363 - AI Computer 10

Viva-Voce
Viva-Voce

1. What does the term Artificial Intelligence refer to?
Ans. Ability of machines or computer programs to carry out tasks that require human intelligence.
2. What are the two subfields of Artificial Intelligence?
Ans. The two subfields of Artificial Intelligence are Machine Learning and Deep Learning. Machine
Learning is a subset of AI, and Deep Learning is a subset of Machine Learning.
3. What is the main goal of Natural Language Processing (NLP)?

Ans. NLP aims to enable computers to understand and interact with humans using natural language,
whether spoken or written.

4. Name a domain of AI that involves the interpretation of digital images and videos.
Ans. Computer Vision is the domain of AI that focuses on replicating the complexity of human vision,
allowing computers to understand the content of digital images and videos.
5. What happens in the Modelling phase of AI projects?
Ans. In the Modelling phase, collected data is analysed based on the gathered project requirements.

6. What is the purpose of a virtual environment in Python?
Ans. To keep dependencies separate for different projects.
7. Which function is used to accept input from the user in Python?
Ans. Input()

8. How do you start a Jupyter Notebook?
Ans. To start Jupyter Notebook, you can simply type jupyter notebook in the command line.
This opens a web-based interface where you can create and run Python notebooks.
9. What does the conda create -n env python=3.11 command do?
Ans. This command creates a new virtual environment named Python version 3.11.

10. Which menu in Jupyter Notebook is used for changing the visibility of the header and Toolbar?
Ans. The View menu in Jupyter Notebook is used for changing the visibility of the header
and toolbar. It allows users to customise the notebook interface.
11. Why is Python a popular programming language in Data Science?
Ans. Python is preferred for its simplicity, readability, and extensive libraries like Pandas and NumPy,
supporting data manipulation and analysis.

12. Why is data visualisation crucial in Data Science?
Ans. Data visualisation helps communicate complex insights clearly, making it easier for stakeholders
to understand and make informed decisions.
13. What is the primary focus of Computer Vision?
Ans. Computer Vision focuses on teaching machines how to see and understand the visual world, a
branch of artificial intelligence.
14. Give an example of a practical application of Computer Vision in the manufacturing industry.

Ans. In manufacturing, machine vision (a closely allied field) is used for automated inspections,
identifying defects, and optimizing operational processes on production lines.

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