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/}}