Machine learning fundamentals
Nice piece. I've shared with colleagues
Appreciate it — hope it sparks some good discussions.
I love the framing of a tree as a conversation with the data.
That framing came naturally — it really is a dialogue. The tree keeps asking until the data stops being ambiguous.
Interpretability isn't a feature, it's a discipline you have to actively protect.
That's worth a post on its own. The moment you start chasing accuracy, interpretability starts quietly eroding.
Thanks for the mention and plug, Jakub, much appreciated.
I have to admit, the technical depth of this piece went over my head, but the explainer at the end made things easier to understand. 😅
Appreciate the honest feedback! That balance is genuinely hard to get right. If the explainer landed, I'll take it.
Nice piece. I've shared with colleagues
Appreciate it — hope it sparks some good discussions.
I love the framing of a tree as a conversation with the data.
That framing came naturally — it really is a dialogue. The tree keeps asking until the data stops being ambiguous.
Interpretability isn't a feature, it's a discipline you have to actively protect.
That's worth a post on its own. The moment you start chasing accuracy, interpretability starts quietly eroding.
Thanks for the mention and plug, Jakub, much appreciated.
I have to admit, the technical depth of this piece went over my head, but the explainer at the end made things easier to understand. 😅
Appreciate the honest feedback! That balance is genuinely hard to get right. If the explainer landed, I'll take it.