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

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