TalkPython - What ML can Teach Us About Life

[ machinelearning life ] · 1 min read

Michael Kennedy, host of Talk Python to Me, invited me to chat on his podcast. It was a slightly more philosophical episode of TalkPython where we dived into a recent post I wrote about some life lessons I gained from machine learning.

  • Data cleaning: Assess what you consume
  • Low vs. high signal data: Seek to disconfirm and update
  • Explore-Exploit: Balance for greater long-term reward
  • Transfer Learning: Books and papers are cheat codes
  • Iterations: Find reps you can tolerate, and iterate fast
  • Overfitting: Focus on intuition and keep learning
  • Ensembling: Diversity is strength


YouTube Live Stream

If you found this useful, please cite this write-up as:

Yan, Ziyou. (Mar 2021). TalkPython - What ML can Teach Us About Life.


  title   = {TalkPython - What ML can Teach Us About Life},
  author  = {Yan, Ziyou},
  journal = {},
  year    = {2021},
  month   = {Mar},
  url     = {}

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