Q.A. on AI Project Cycle
Q. Name the different steps involved in AI Project Cycle.
A.- Problem Scoping
- Data Acquisition
- Data Exploration
- Modelling
- Evaluation
Q. Define Problem Scoping in short.
A. The process of finalising the aim of a system or project for the problem that you wish to solve with the help of your project is known as "Problem Scoping".
Q. Define Data Acquisition in short.
A. The process of collecting or acquiring the data in a visual form is known as "Data Acquisition".
Q. Define Data Exploration in short.
A. The process of interpreting or exploring some useful informations out of the large accquired data for a better understanding is known as "Data Exploration".
Q. Define Modelling in short.
A. The process of selecting and implementing the model which match the requirements of a project is known as the "Modelling".
Q. Explain each stage of AI Project cycle with the help of example.
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Q. What is the use of 4W's Problem Canvas? Explain in brief.
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Q. What is the use of Problem Statement template in Problem Scoping?
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Q. It is very important to identify a problem in detail to create a better solution for it. Do you agree with the statement? If yes, justify it by giving an example.
A.
Q. What do you mean by Machine Learning (ML)?
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Q. What do you mean by Deep Learning (DL)?
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