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Advice for Beginners: Don’t Focus on What You Do, But How Much You Do
The key advice for beginners in machine learning is not to focus on what to do, but instead focus on how much time to invest. The concept of the '10,000 hours' rule emphasizes the importance of spending a significant amount of time on the subject. Deliberate effort and forming a daily habit are necessary to maximize the likelihood of reaching 10,000 hours. Rather than comparing oneself to others, it is more beneficial to compare personal progress over time. Beginners may get paralyzed by the choices and worry about making the wrong decisions, but making mistakes and accumulating experience is part of the learning process. It is essential to focus on consistent and continuous work.