Machine learning & deep learning
3Blue1Brown · Discussed on HN from 2017 to 2025
3Blue1Brown's first chapter on deep learning explains what neurons and layers are and the math underlying a basic neural network, using handwritten digit recognition with visual animations.
Read the notesAccessible math explanations that removed fear of ML
“explains math in very accessible way”Read the original HN comment
hal9000xp · 2017-11 · 16 recommenders across 14 months
HN treats it as the best starting point for really understanding backprop and neural nets, because Karpathy explains the why with intuition and builds everything in code.
Principles by Ray Dalio
HN repeatedly recommends it as the best layperson overview of debt, credit and economic cycles.
HN's default recommendation for understanding the Fourier transform intuitively; many say it was the explanation that made it click.
