Lectures.md

Math

• Linear Algebra (MIT)
• Intro to Probability (MIT)
  • MIT OCW: link
• Probability Theory (IMPA)
• Linear Optimization (UW-Madison)
• Integer Optimization (UW-Madison)
• Differential Equations (UFL)
• Numerical Analysis (UFL)
  • Book

Machine learning fundamentals

• Intro to ML (Stanford)
  • Videos
• ML by Andrew Ng(Stanford CS229 Fall 2018)
  • videos
  • Linear Algebra notes
  • course notes
• Intro to ML (MIT)
  • No video, but notes (definitely worth reading)
• CS532: Matrix Methods in ML
• Probability and Info Theory in ML(UW Madison)

Systems

• Intro to Database (CMU)
• Advanced Database (CMU)
• Computer Networks
• Distributed Systems (MIT)
  • Notes: link
• Intro to Big Data Systems (UW-Madison)
• Intro to Computer Architecture (UW-Madison)
• Advanced Computer Architecture (UW-Madison)