Components and Stages (alias Al Project Cycle)
ICSE · Class 9 · Robotics & Artificial Intelligence
Complete topic list for Components and Stages (alias Al Project Cycle) in ICSE Class 9 Robotics & Artificial Intelligence. Key concepts, sub-topics, and what to focus on for board exams.
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Topics in Components and Stages (alias Al Project Cycle)
1. AI Project Cycle and Problem Scoping
- The 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 involves identifying a problem and having a vision to solve it.
2. Data Acquisition
- Data Acquisition is the second stage of the AI Project Cycle.
- This stage is about acquiring data for the project.
- AI systems need data to be trained before they can make predictions.
3. Data Exploration
- Data Exploration is the stage in which acquired data is visualized and interpreted.
- This stage helps in finding patterns, trends, and relationships in data.
- Visualisation makes data easier for humans to understand.
4. Modelling
- Modelling is the stage in which an AI algorithm or model is selected and implemented.
- Generally, Artificial Intelligence models have two kinds of approaches.
- The two approaches are Rule based approach and Learning based approach.
Key Concepts
Central concept: AI Project Cycle
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