π Beginners should focus on the amount of time they spend on machine learning rather than what specific tasks they do.
β° The concept of putting in 10,000 hours of deliberate effort and work is important for becoming an expert in machine learning.
π‘ Spending 10,000 hours on machine learning can help anyone become an expert, regardless of their initial skill level.
π‘ Forming a daily habit is crucial for success in machine learning.
π Comparing your progress to yourself from the past is more beneficial than comparing yourself to others.
β° Overthinking and getting paralyzed by the choice of which path to take is common among beginners in machine learning.
π It's important to learn from mistakes and failures in order to grow stronger.
β³ Focusing on what you have accomplished and learning from past experiences is more valuable than wasting time on unproductive tasks.
π Teaching is fulfilling when it positively impacts the lives of students and brings them happiness.
π Teaching machine learning can be challenging but rewarding.
π‘ Creating educational materials for machine learning requires a lot of work and iteration.
π Building machine learning models live during lectures is a powerful teaching approach.
π₯ Creating concise video summaries using transcriptions for college student notes.
π Summarize key points or important moments in 1-3 sentences with emojis.
π‘ Teaching strengthens understanding and reveals knowledge gaps.
π¨βπ» The code is the source of truth for machine learning, not mathematical symbols or slides.
ποΈ Building and implementing machine learning models is a beautiful process.
π Becoming skilled in machine learning requires dedication and a willingness to learn.
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