2. Under
stage of AI project Cycle, we look at various
parameters which affected the problems we wish to solve
so that picture becomes clearer
a Modelling e) Evaluation c) problem scoping () Data exploration
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The first step is Scope the Problem by which, you set the goal for your AI project by stating the problem which you wish to solve with it. Under problem scoping, we look at various parameters which affect the problem we wish to solve so that the picture becomes clearer.
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Under problem scooping stage of AI project Cycle, we look at various parameters which affected the problems we wish to solve so that picture becomes clearer
- Problem scope is determined by asking questions about what is and isn't working in relation to the user's issue.
- The problem we want to solve is identified, defined, and data on the problem domain is gathered during the problem-scoping phase of the AI project cycle.
- This includes carefully examining a wide range of variables that may have an effect on the problem, such as data availability, data quality, and additional constraints or demands.
- It alludes to the recognition of a problem and the determination to address it.
- It then, allows users to effectively determine and understand the issue at hand and find out whether or not AI technologies can be employed to solve it.
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