Before a mobile app launches, how can you approximate future dev/test data when no user data is available?

Before a mobile app launches, it is impossible to approximate the future data distribution for dev/test sets.

Before launching a mobile app, you can approximate future user data by asking friends to take _____ pictures of cats and send them to you.

When a mobile app has not yet launched and no user data is available, what is the recommended approach for building dev/test sets?

Before a mobile app launches, it is impossible to construct any dev/test set because real user data does not yet exist.

When no user data exists before app launch, Andrew Ng recommends trying to _____ the future data distribution for dev/test sets.

Match each pre-launch data concept to its correct description.

Order the steps a team should follow to approximate pre-launch dev/test data for a mobile app.

Which specific example does Andrew Ng give in Machine Learning Yearning for approximating pre-launch mobile app data for a cat-detection use case?

Data collected from friends before a mobile app's launch perfectly represents the distribution of future user data.

Andrew Ng suggests asking your _____ to take mobile-phone pictures of cats as one way to approximate pre-launch user data.

Match each pre-launch data approximation term to its correct explanation.

Order the reasoning steps for deciding how to handle the absence of user data when constructing dev/test sets before a mobile app launches.

Explain the rationale and challenges of approximating future dev/test data before a mobile application launch.

Case Study: Designing a cat detection dev/test set before mobile application launch.

What is the purpose of asking friends to take photos when constructing a pre-launch dev/test set?