The Machine Learning Lessons I’ve Learned This Month

Three practical lessons for machine learning practitioners are outlined based on recent project experience. The first lesson addresses the critical choice between using existing ML libraries and writing custom code, providing rules of thumb for when to build from scratch versus leveraging established frameworks. A second point advocates for using a clipboard manager to reduce cognitive overhead and improve workflow efficiency, especially when juggling multiple command-line experiments. The final lesson emphasizes the value of reading research papers both deeply within a specific domain and broadly across adjacent fields to foster creativity and adaptability.