Based on a machine learning project that uses face recognition technology, to recognize people faces and facial expressions answer these questions:

Problem definition What business problem are we trying to solve? How can it be phrased as a machine learning problem?

Data If machine learning is getting insights out of data, what data we have? How does it match the problem definition? Is our data structured or unstructured? Static or streaming?

Evaluation What defines success? Is a 95% accurate machine learning model good enough?

Features What parts of our data are we going to use for our model? How can what we already know influence this?

Modelling Which model should you choose? How can you improve it? How do you compare it with other models?

Experimentation What else could we try? Does our deployed model do as we expected? How do the other steps change based on what weve found?