Mar 26, 2021
#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
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