#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. The seven lessons: 1. Data cleaning: Assess what you consume 2. Low vs. high signal data: Seek to disconfirm and update 3. Explore-Exploit: Balance for greater long-term reward 4. Transfer Learning: Books and papers are cheat codes 5. Iterations: Find reps you can tolerate, and iterate fast 6. Overfitting: Focus on intuition and keep learning 7. Ensembling: Diversity is strength Links from the show Eugene Yan: @eugeneyan What Machine Learning Can Teach Us About Life - 7 Lessons article: eugeneyan.com Maker's schedule vs. manager's schedule: paulgraham.com Naval Podcast: overcast.fm How to Write Better with The Why, What, How Framework https://eugeneyan.com/writing/writing-docs-why-what-how/ Resources mentioned towards the end of the podcast: eugeneyan.com/resources New media example - Metal song decomposed by classical musicians Opera singer: youtube.com Composer music: youtube.com YouTube Live Stream: youtube.com PyCon Ticket Giveaway: talkpython.fm/pycon2021 Sponsors Retool Linode Talk Python Training