Artificial Intelligence: Project Cycle & Ethical Frameworks

Front

What are the six stages of the AI Project Cycle?

Back

1. Problem Scoping 2. Data Acquisition 3. Data Exploration 4. Model Selection 5. Model Testing 6. Deployment

Front

What is the purpose of Problem Scoping in the AI Project Cycle?

Back

To set the goal for the AI project by stating the problem to be solved and understanding the parameters affecting it.

Front

What is Data Acquisition in the AI Project Cycle?

Back

The process of collecting data from reliable sources to understand the parameters related to the problem.

Front

What is the significance of visual representations in Data Acquisition?

Back

They help interpret patterns in the acquired data more easily.

Front

What is the goal of Model Selection in the AI Project Cycle?

Back

To decide upon the type of model to build that will achieve the project goal.

Front

What is the purpose of Model Testing?

Back

To evaluate the selected model on new data and improve it based on the results.

Front

What is the final stage of the AI Project Cycle?

Back

Deployment, which ensures successful integration and operation of AI solutions in real-world environments.

Front

What are the three main domains of AI models?

Back

1. Statistical Data 2. Computer Vision 3. Natural Language Processing (NLP)

Front

What is Statistical Data in AI?

Back

A domain related to data systems that collects and analyzes data to derive meaning.

Front

Give an example of Statistical Data application.

Back

Price Comparison Websites like PriceGrabber and Shopzilla.