About this document
Steps in AI Problem Scoping Process by Irene Abhilash is a document available to read on EtoBox.
The document discusses the AI project cycle and problem scoping process. It begins by outlining the 5 main stages of the AI project cycle: 1) problem scoping, 2) data acquisition, 3) data exploration, 4) modelling, and 5) evaluation. It then focuses on explaining the problem scoping stage in more detail. This includes defining problem scoping, listing the steps, and providing an example of using a 4Ws problem canvas framework to scope a climate change problem related to greenhouse gas emissions.
- Author
- Irene Abhilash
- Language
- EN