AI Project Cycle Class 9 Notes
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Questions and Answers

What is the main purpose of the AI Project Cycle?

  • To follow a step-by-step process outlined in the NCERT Textbook
  • To create a new AI-based product
  • To derive value from an AI project and solve a problem (correct)
  • To collaborate with teachers and examiners

Which of the following is not one of the 4 W's of Problem Scoping in the AI Project Cycle?

  • How (correct)
  • Where
  • What
  • Who

What is the purpose of the 'Who' element in the 4 W's of Problem Scoping?

  • To determine the different aspects that affect the problem
  • Both a and b (correct)
  • To understand and categorize who is directly and indirectly affected by the problem
  • To identify the stakeholders of the problem

Which of the following is not a stage of the AI Project Cycle?

<p>Collaboration with Teachers and Examiners (B)</p> Signup and view all the answers

What is the purpose of the 'Why' element in the 4 W's of Problem Scoping?

<p>To understand the root cause of the problem (A)</p> Signup and view all the answers

What does the 'What' section in problem analysis help in?

<p>Recognizing the nature of the problem (D)</p> Signup and view all the answers

Which type of data is in a standardized format and easily accessible by humans and programs?

<p>Structured Data (D)</p> Signup and view all the answers

What is the purpose of a test dataset in the context of machine learning?

<p>To validate the performance of a model (A)</p> Signup and view all the answers

What does a dataset contain?

<p>Values related to a specific subject (C)</p> Signup and view all the answers

What is the main difficulty associated with unstructured data?

<p>It is challenging to store and manage (D)</p> Signup and view all the answers

Flashcards

AI Project Cycle Purpose

The AI Project Cycle aims to solve a problem by extracting value from an AI project.

Problem Scoping 4 W's

The 4 W's of Problem Scoping help analyze the problem to be solved. The 4 W's are: What, Why, Who, and Where. "How" isn't part of it.

Problem Scoping: Who

The 'Who' element in problem scoping identifies the stakeholders involved and their needs.

Problem Scoping: Why

The 'Why' element in Problem Scoping explores the root cause of the problem and its implications.

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Problem Analysis: What

The 'What' section in problem analysis helps clarify the nature of the problem being addressed.

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Structured Data

Structured data is organized in a standardized format, making it easily accessible by humans and programs. It is like a neat and organized spreadsheet.

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Test Dataset

A test dataset is used to evaluate the performance of a machine learning model after it has been trained.

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Dataset

A dataset contains a collection of values related to a specific subject. It's like a database of information.

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Unstructured Data Difficulty

Unstructured data is difficult to store and manage due to its lack of organization. Think of it like a messy pile of documents.

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AI Project Cycle Stages

The AI Project Cycle includes stages like problem scoping, data analysis, model training, and deployment. Collaboration with teachers and examiners is not a stage.

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Study Notes

AI Project Cycle Overview

  • The main purpose of the AI Project Cycle is to provide a structured framework for developing AI solutions, ensuring effective problem identification, analysis, and implementation.

4 W's of Problem Scoping

  • The 4 W's of Problem Scoping include Who, Why, What, and Where; identifying each is essential for defining the project’s scope.
  • The 'Who' element focuses on identifying the stakeholders and users affected by the problem and the AI solution being developed.
  • The 'Why' element aims to clarify the rationale behind the project, including the motivations and expected outcomes.

Stages of the AI Project Cycle

  • Common stages in the AI Project Cycle include problem identification, data preparation, model training, and evaluation.
  • Not every listed option may be a stage in the AI Project Cycle; understanding and identifying each stage is critical for project management.

Data and its Types

  • Datasets consist of structured and unstructured data, where structured data is formatted and easily accessible by both humans and programs.
  • A test dataset is crucial in machine learning, as it evaluates model performance by providing unseen data for validation.

Unstructured Data Challenges

  • Unstructured data often poses challenges due to its lack of a predefined format, making it difficult to process and analyze effectively.

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Description

Learn about the step-by-step process of the AI Project Cycle from the CBSESkillEduction collaboration for Class 9. Get insights on Problem Scoping and other stages from the NCERT Textbook 'Artificial Intelligence (417)'.

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