The Machine Learning Lessons I’ve Learned This Month

Three practical lessons can improve a machine learning practitioner's workflow. First, experiment logging should be kept simple, as complex tools like Weights & Biases can be overkill and distract from the core research. Second, maintaining a lab notebook to document the purpose of each experiment creates a documented feedback loop, making results easier to interpret and replicate. Finally, running experiments overnight maximizes the use of compute resources and ensures results are ready for analysis the next morning.