AI - Components of Al Project Framework — Chapter Summary
ICSE · Class 10 · Robotics & Artificial Intelligence
Summary of AI - Components of Al Project Framework for ICSE Class 10 Robotics & Artificial Intelligence. Artificial Intelligence project work follows.
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Overview
Artificial Intelligence project work follows a clear framework that turns a broad idea into a workable model. A project begins with a problem, moves through data collection and exploration, then uses modelling and evaluation to find the best result. Along with this, system maps help identify parts o
Key Concepts
A project is a temporary endeavour
A project is a temporary endeavour undertaken to create a unique product, service or result. A project life cycle is the sequence of phases a project
The AI Project Cycle has five
The AI Project Cycle has five steps: Problem Scoping, Data Acquisition, Data Exploration, Modelling, and Evaluation. These steps help move from a prob
Problem Scoping is the first step
Problem Scoping is the first step of the AI Project Cycle. It defines the goal to be achieved through AI and identifies the problem to be solved. It u
The 4Ws Problem Canvas helps identify
The 4Ws Problem Canvas helps identify the key elements of a problem: Who, What, Where, and Why. It helps identify stakeholders, the nature of the prob
Data Acquisition is the second step
Data Acquisition is the second step of the AI Project Cycle. It means collecting and compiling relevant data to train the AI system. Methods include s
Learning Objectives
- Understand the five steps of the AI Project Cycle
- Learn how Problem Scoping uses the 4Ws Problem Canvas
- Understand data acquisition, data types, and data sources
- Learn the role of training data and test data in AI
- Understand system maps and how they show relationships between elements
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