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What ML Can Teach Us About Life: 7 Lessons

Episode #309, published Fri, Mar 26, 2021, recorded Fri, Mar 19, 2021

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

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Links from the show

Eugene Yan: @eugeneyan
What Machine Learning Can Teach Us About Life - 7 Lessons article:

Maker's schedule vs. manager's schedule:
Naval Podcast:
How to Write Better with The Why, What, How Framework
Resources mentioned towards the end of the podcast:

New media example - Metal song decomposed by classical musicians
Opera singer:
Composer music:

YouTube Live Stream:
PyCon Ticket Giveaway:
Episode transcripts:

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