Lessons Learned After 8 Years of Machine Learning

Reflecting on eight years in machine learning, several key lessons have emerged that are not about specific models but about sustainable practice. Deep work, or sustained focus, is critical for progress in the theoretical, coding, and writing aspects of the field. It is also important to avoid over-identifying with one's work to remain resilient through the inevitable setbacks and failures of ML projects. Furthermore, incorporating physical movement is essential for long-term health in a sedentary role, and blogging is a valuable practice for clarifying thoughts and improving communication.