Towards Data Science - Author Spotlight with Eugene Yan
Eugene Yan
Eugene Yan discussed his career path from psychology to data science roles at IBM, Lazada, and Amazon, highlighting a self-directed machine learning project that classified Amazon products into thousands of categories achieving 0.965 top-3 accuracy. He described his writing process involving topic lists, iterative outlines developed over multiple days, and 5-15 hours of prose conversion, emphasizing that writing is equally valuable for personal learning as for reaching audiences. Yan advocated for more practical content sharing production ML systems, failed experiments, and case studies rather than tutorials, and advised aspiring writers to begin writing immediately without concern for initial quality.
Why it matters
My favourite project, how I write weekly and how you can start, and content I would like to see more of.
