Components and Stages (Alias Al Project Cycle)
ICSE · Class 11 · Artificial Intelligence
Quick revision notes for Components and Stages (Alias Al Project Cycle) — ICSE Class 11 Artificial Intelligence. Key concepts, formulas, and definitions for last-minute revision.
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Key Topics to Revise
1. AI Project Cycle Overview
- An AI Project Cycle has five stages: Problem Scoping, Data Acquisition, Data Exploration, Modelling and Evaluation.
- A project life cycle is the sequence of phases that a project goes through from its initiation to its closure.
- Problem Scoping sets the goal of the AI project by identifying the problem and having a vision to solve it.
2. Problem Scoping and the 4Ws Problem Canvas
- Problem Scoping involves identifying a problem and having a vision to solve it.
- It narrows a broad theme into a clear problem statement.
- The 4Ws Problem Canvas has four blocks: Who, What, Where and Why.
3. System Maps
- 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 components, but the graphical representation is easier to understand.
- System maps show components, the system boundary, relationships, the environment and attributes.
4. Data Acquisition
- Data Acquisition is the second stage of the AI Project Cycle.
- Data is the lifeblood of Artificial Intelligence.
- Training Data is used to train the AI machine so it can learn.
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