The Machine Learning Lessons I’ve Learned This Month

A machine learning researcher shares three key lessons from recent project work. When starting new ML projects, choose between existing libraries versus custom solutions based on control needs, requirements, and maintainability — hybrid approaches often work best for research. Clipboard managers prove invaluable for tracking experimental runs and parameter combinations, maintaining a history of commands and results rather than risking overwritten information. Reading broadly across adjacent research fields creates a mental map that helps identify relevant work and sparks creative connections, building resilience as research areas evolve.