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12. Why is Data Acquisition important in AI projects?

Ans. Data Acquisition is crucial as it involves identifying and gathering all the necessary data
requirements for an AI project.
13. What is the purpose of a virtual environment in Python?

Ans. To keep dependencies separate for different projects.
14. Which function is used to accept input from the user in Python?

Ans. Input()
15. What is the purpose of Anaconda Navigator?
Ans. Anaconda Navigator is a desktop GUI that helps manage environments and packages. It allows
users to launch applications and handle Python-related tasks without using the command line.

16. 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.
17. 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.
18. 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 customize the notebook interface.

19. 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.
20. What does the When canvas in AI project management address?

Ans. The When canvas focuses on project timelines, milestones, and the scheduling of tasks during
the AI project lifecycle.
21. Why is data visualization crucial in Data Science?

Ans. Data visualization helps communicate complex insights clearly, making it easier for stakeholders
to understand and make informed decisions.
22. 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.
23. How does Google Translate use Computer Vision in its camera feature?

Ans. Google Translate camera feature utilizes Computer Vision to translate large blocks of text by
capturing and analyzing images, eliminating the need for manual input.
24. 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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