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

SoundCloud

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. eugeneyan.com. https://eugeneyan.com/speaking/talk-python/.

or

@article{yan2021talk,
  title   = {TalkPython - What ML can Teach Us About Life},
  author  = {Yan, Ziyou},
  journal = {eugeneyan.com},
  year    = {2021},
  month   = {Mar},
  url     = {https://eugeneyan.com/speaking/talk-python/}
}