A from-scratch roadmap for learning the math behind machine learning
TivadarDanka · x · 2026-10-03
Tivadar Danka (author of a well-known Mathematics for Machine Learning book/course) shares the roadmap he would follow to learn math for ML from scratch — a complete path from fundamentals to advanced topics for readers who want to systematically build their ML math foundations.
More from Companies & People
- Rob LeClerc: reposted old interviews should carry Community Notes-style timestamps — robleclerc · 2026-10-03
- Harvard Belfer Center opens 2027-28 fellowship applications for AI and emerging tech policy — StephenLCasper · 2026-10-03
- Ethan Mollick: corporate America has adopted AI — org change is just slow — emollick · 2026-10-03
- AI influencer creator on Fox News: AI-made content carries a lot of humanness — omooretweets · 2026-10-03
- At The Curve conference: reverse federalism AI policy debate and RSI evaluation talks — neil_chilson · 2026-10-03
- Free AI Curriculum Co-Developed with Google DeepMind Pilots in Australia — lmoroney · 2026-10-03