which of the following is not stage in ai project cycle..1. problem scooping 2. data acquisition 3. data exploration 4. prototyping..
Answers
4. PROTOTYPING.....
#ANONYMOUS...
Answer:
4. prototyping
Prototyping is not stage in AI project cycle.
Explanation:
Prototyping is not stage in AI project cycle products because they need to mimic the complexity and ambiguity of AI models. Three steps make up a prototyping process: prototyping construction, prototyping execution, and prototyping evaluation.
The AI project typically has three main phases: Stage I: Data gathering and project planning. The second stage involves designing and honing the machine learning (ML) model. Deployment and maintenance comprise Stage III.
The four phases of most software development projects are discovery, research, prototype, and production. In order to be certain that an AI system will function from beginning to end, a working prototype is typically needed.
The five stages of an AI project
Problem scooping.
Data acquisition.
Data Exploration of the data.
Modelling and evaluation.
Three phases of AI:
Artificial Narrow Intelligence (ANI).
Artificial General Intelligence (AGI).
Artificial Super Intelligence (ASI).