Components and Stages (Alias Al Project Cycle) — Chapter Summary
ICSE · Class 11 · Artificial Intelligence
Summary of Components and Stages (Alias Al Project Cycle) for ICSE Class 11 Artificial Intelligence. An AI project follows a fixed sequence of five.
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Overview
An AI project follows a fixed sequence of five stages: Problem Scoping, Data Acquisition, Data Exploration, Modelling and Evaluation. The cycle helps in identifying a problem, collecting useful data, studying patterns, choosing a model and testing its performance. The chapter also explains system ma
Key Concepts
A project life cycle is
A project life cycle is the sequence of phases that a project goes through from its initiation to its closure. An AI Project Cycle has five stages: Pr
Problem Scoping involves identifying a problem
Problem Scoping involves identifying a problem and having a vision to solve it. It narrows a broad theme into a problem statement using the 4Ws Proble
The 4Ws Problem Canvas has four
The 4Ws Problem Canvas has four blocks: Who, What, Where and Why. It helps identify stakeholders, the nature of the problem, the context in which it o
A system is an interconnected set
A system is an interconnected set of elements that is coherently organized in a way that achieves something. A system map is effectively a list of com
Data Acquisition is the stage
Data Acquisition is the stage in which authentic, reliable and conflict-free data is collected for the AI project. Data is the lifeblood of Artificial
Learning Objectives
- Understand the AI Project Cycle and its five stages
- Explain Problem Scoping using the 4Ws Problem Canvas
- Identify how system maps help in understanding a problem
- Recognise different ways of acquiring and representing data
- Understand Data Exploration and Data Cleaning
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