Reflections on 1,000 Days of Math (gmays.com)

After 1,000 days of daily math practice, a tech enthusiast reflects on the profound impact this journey has had on both personal and professional life. Initially pursuing an aggressive learning schedule, they adapted to a more sustainable routine, navigating through courses from Math Foundations to Mathematics for Machine Learning (M4ML). The author acknowledges the pitfalls of relying too heavily on notes, which led to gaps in understanding. Recognizing these weaknesses, they reset their progress and found renewed insight and enjoyment in revisiting the material, ultimately enhancing their mathematical intuition and decision-making skills, particularly in investments that contributed to financial independence. This experience underscores the significance of building a solid mathematical foundation in the AI and machine learning community. The author connects their improved capabilities with the advances in AI tools, stating that the discipline gained from daily practice equips them to tackle complex problems and develop new applications, such as a tool for hands-free querying using smart glasses. Furthermore, the positive influence on their children's perception of learning—embracing challenges and understanding that failure is part of growth—highlights the broader implications of engaging with math and technology. Their journey not only demonstrates personal growth but serves as an inspiration for others pursuing similar paths in the evolving landscape of AI and ML.