Managing Projects

How to manage machine learning projects properly?
Managing - ML Teams

Summary

  • Manage Machine Learning projects can be very challenging:

    • In Machine Learning, it is hard to tell in advance what’s hard and what’s easy.

    • Machine Learning progress is nonlinear.

    • There are cultural gaps between research and engineering because of different values, backgrounds, goals, and norms.

    • Often, leadership just does not understand it.

  • The secret sauce is to plan the Machine Learning project probabilistically!

    • Attempt a portfolio of approaches.

    • Measure progress based on inputs, not results.

    • Have researchers and engineers work together.

    • Get end-to-end pipelines together quickly to demonstrate quick wins.

    • Educate leadership on Machine Learning timeline uncertainty.