The Machine Learning Lessons I’ve Learned Last Month

A healthy work rhythm in machine learning involves a cycle of deadlines, downtimes, and flow times. Deadlines, while stressful, provide essential focus and clarity for projects, such as preparing for the ICML conference. Following these intense periods, planned downtimes are critical for restoring energy and preventing burnout. The time between these phases is for "flow time," periods of deep, uninterrupted concentration where the most meaningful work gets done. Embracing this deliberate loop of intensity, rest, and focus leads to sustainable productivity.