Concepts
- The AI project cycle refers to the step-by-step process that an organization or a person should follow to develop and deploy an artificial intelligence (AI) project while solving a problem. It is also called the AI development lifecycle. It provides us with an appropriate framework that helps us to achieve our goal.
- The AI project cycle typically consists of these five stages:
- Problem Scoping : Understanding the problem
- Data Acquisition : Collecting accurate and reliable data
- Data Exploration : Arranging the data uniformly
- Modeling : Creating Models from the data
- Evaluation : Evaluating the project