To succeed in machine learning, focus on consistent effort, not just choosing the right path. Aim for 10,000 hours of dedicated work; mistakes are learning opportunities. Compare yourself only to your past self to track progress. Teaching, while demanding (10 hours prep for 1 hour lecture), strengthens understanding and is rewarding. The "code is truth" approach in teaching clarifies concepts through practical application.