Podcast
Questions and Answers
Which of the following is not an approach considered for modelling?
Which of the following is not an approach considered for modelling?
What is the last node of a decision tree?
What is the last node of a decision tree?
Which step involves seeing how the system responds to the data, checking for errors, and ensuring the system meets established goals?
Which step involves seeing how the system responds to the data, checking for errors, and ensuring the system meets established goals?
In the learning-based approach of modelling, how does the machine handle algorithm design?
In the learning-based approach of modelling, how does the machine handle algorithm design?
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What is the stage called when the AI system needs re-training at regular intervals to ensure accuracy and effectiveness?
What is the stage called when the AI system needs re-training at regular intervals to ensure accuracy and effectiveness?
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Which of the following is not a part of Evaluation and Deployment?
Which of the following is not a part of Evaluation and Deployment?
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What is the main purpose of the rule-based approach in modelling?
What is the main purpose of the rule-based approach in modelling?
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Which stage involves checking for errors, ensuring system goals are met, and testing system responses to data?
Which stage involves checking for errors, ensuring system goals are met, and testing system responses to data?
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What is the key characteristic of the decision tree in modelling?
What is the key characteristic of the decision tree in modelling?
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What is the purpose of re-training an AI system at regular intervals?
What is the purpose of re-training an AI system at regular intervals?
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Study Notes
Modelling Approaches
- Rule-based approach: main purpose is to use predefined rules to model the system
- Learning-based approach: machine handles algorithm design on its own
Decision Tree
- Last node of a decision tree: leaf node
- Key characteristic: each internal node is a test, and each leaf node is a class label
System Development Stages
- Training stage: machine learns from data
- Testing stage: checking for errors, ensuring system goals are met, and testing system responses to data
- Deployment stage: not an evaluation stage, involves putting the system into use
System Maintenance
- Re-training stage: AI system needs re-training at regular intervals to ensure accuracy and effectiveness
Evaluation and Deployment
- Does not include: deployment stage
- Involves: evaluating the performance of the system, checking for errors
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Description
Test your knowledge of AI project cycle modelling and evaluation with this quiz. Explore concepts like different modelling approaches, decision tree nodes, and system response assessment.
