Question:

In the AI project cycle, which of the following represents the correct order of steps?

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The AI project cycle involves clear stages starting from data collection to evaluation, ensuring systematic model development.
Updated On: Dec 19, 2024
  • Data Exploration, Problem Scoping, Modelling, Evaluation, Data Exploration
  • Problem Scoping, Data Acquisition, Modelling, Evaluation
  • Modelling, Data Acquisition, Evaluation, Problem Scoping, Data Exploration
  • Data Acquisition, Data Exploration, Problem Scoping, Modelling, Evaluation
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The Correct Option is D

Solution and Explanation

The correct order of steps in an AI project cycle begins with Data Acquisition, where relevant data is gathered. Next, Data Exploration takes place to understand the dataset and its properties. After that, Problem Scoping is done to define the problem and determine how the data can be used to solve it. Then, Modelling is performed, where machine learning models are created. Finally, Evaluation is done to assess the performance of the models. This sequence ensures a structured approach to building and deploying AI models.

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