Talk Python to Me: #309 What ML Can Teach Us About Life: 7 Lessons

Machine learning and data science are full of best practices and important workflows. Can we extrapolate these to our broader lives? Eugene Yan and I give it a shot on this slightly more philosophical episode of Talk Python To Me. <br/> <br/> The seven lessons: <br/> <br/> 1. Data cleaning: Assess what you consume <br/> 2. Low vs. high signal data: Seek to disconfirm and update <br/> 3. Explore-Exploit: Balance for greater long-term reward <br/> 4. Transfer Learning: Books and papers are cheat codes <br/> 5. Iterations: Find reps you can tolerate, and iterate fast <br/> 6. Overfitting: Focus on intuition and keep learning <br/> 7. Ensembling: Diversity is strength<br/> <br/> <strong>Links from the show</strong><br/> <br/> <div><b>Eugene Yan</b>: <a href="https://twitter.com/eugeneyan" target="_blank" rel="noopener">@eugeneyan</a><br/> <b>What Machine Learning Can Teach Us About Life - 7 Lessons article</b>: <a href="https://ift.tt/39hMH8F" target="_blank" rel="noopener">eugeneyan.com</a><br/> <br/> <b>Maker's schedule vs. manager's schedule</b>: <a href="https://ift.tt/ebCxrz" target="_blank" rel="noopener">paulgraham.com</a><br/> <b>Naval Podcast</b>: <a href="https://ift.tt/3fmuLNV" target="_blank" rel="noopener">overcast.fm</a><br/> <b>How to Write Better with The Why, What, How Framework https://ift.tt/3lT5bkS> <b>Resources mentioned towards the end of the podcast</b>: <a href="https://ift.tt/39gL8Yo" target="_blank" rel="noopener">eugeneyan.com/resources</a><br/> <br/> <b>New media example - Metal song decomposed by classical musicians</b><br/> <b>Opera singer</b>: <a href="https://www.youtube.com/watch?v=uFmNaXAg0sw" target="_blank" rel="noopener">youtube.com</a><br/> <b>Composer music</b>: <a href="https://www.youtube.com/watch?v=ND2ialM3txk" target="_blank" rel="noopener">youtube.com</a><br/> <br/> <b>YouTube Live Stream</b>: <a href="https://www.youtube.com/watch?v=EE1u1dbPZWQ" target="_blank" rel="noopener">youtube.com</a><br/> <b>PyCon Ticket Giveaway</b>: <a href="https://ift.tt/3qkZKf6" target="_blank" rel="noopener">talkpython.fm/pycon2021</a><br/></div><br/> <strong>Sponsors</strong><br/> <br/> <a href='https://ift.tt/3rljQa7> <a href='https://ift.tt/3aBjB2k> <a href='https://ift.tt/2PVc9qH Python Training</a>

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