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.