Class 10 AI Project cycle Notes
1. What is AI Project Cycle?
It is defined as different stages of AI project from initial step to final project.
2. What are stages of AI Project Cycle?
- Problem Scoping
- Data Acquisition
- Data Exploration
- Modelling
- Evaluation
3. What do you mean by Problem Scoping?
It is defined as the aim of AI project.
4. Write do you mean by data acquisition?
It is the process of collecting data while keeping in mind previous stage of AI project cycle.
5. What do you mean by data exploration?
It is the process of exploring data to choose the data models and clean the data.
6. What do you mean by modelling?
It is the process of creating models for AI project. Choose the best model, test it, analyze it and develop an algorithm around it.
7. What do you mean by evaluation?
It is the process of testing the model for accuracy and performance using new data.
8. What do you mean by deployment?
It is the process of implementing AI project.
9. Explain problem scoping phase of AI Project cycle?
This is the initial phase of AI Project cycle. Following activities are part of problem scoping:
- Problem identification
- Issues related to problem
- Setting the goal
- Studying the issues to be solved.
10. What do you mean by 4Ws Canva? Explain its components.
It is a tool to explore a problem in terms of WHO, WHAT, WHERE and WHY. It helps to create a problem statement with clarity.
Its components are:
- WHO : These are the people directly affected by the problem
- WHAT: It specifies nature of the problem.
- WHERE: It specifies situation or context in which people face the problem.
- WHY: It specifies the reason behind the problem.
11. When should 4Ws Canva tool be used?
It should be used at the beginning of the AI project for clear understanding of the problem.