What are the different archetypes of machine learning projects?
Archetypes - ML Projects
  • Archetype 1 - Projects that improve an existing process: improving route optimization in a ride-sharing service, building a customized churn prevention model, building a better video game AI.

  • Archetype 2 - Projects that augment a manual process: turning mockup designs into application UI, building a sentence auto-completion feature, helping a doctor to do his/her job more efficient.

  • Archetype 3 - Projects that automate a manual process: developing autonomous vehicles, automating customer service, automating website design.

  • Data flywheels is a concept saying that more users lead to more data, more data lead to better models, and better models lead to more users.