Module 3: Understanding the AI Development Life Cycle: Develop

Question 1

Describe what is done during the AI development phase.

Answer 1

The model is built and the features are defined.

Question 2

What are the purposes of feature engineering?

Answer 2

1) Improving model performance
2) Reducing costs, improving effectiveness
3) Boosting model explainability

Question 3

What is feature engineering?

Answer 3

Transforming raw data into useful features, using domain knowledge from experts.

Question 4

What is involved in model training?

Answer 4

Training, testing, evaluating and retraining different models.

Question 5

What is model testing and evaluation?

Answer 5

Testing your models on relevant evaluation metrics.

Question 6

What are feature flags?

Answer 6

A deployment technique allowing you to turn some functionality of an application off without needing to deploy new code

Question 7

What is involved in building an AI model?

Answer 7

• Feature engineering
• Model training
• Model testing and validation

Question 8

What are some of the purposes of model training?

Answer 8

• Determining the best model to use.
• Determining the best settings to use within the model.