Here I list the resources that I have come to appreciate

Statistics & ML

• Pattern Recognition and Machine Learning, Christopher M. Bishop
• The elements of statistical learning: data mining, inference, and prediction, Hastie et al.
• Econometrics, Fumio Hayashi
• Introduction to Natural Language Processing, Jacob Eisenstein
• Reinforcement Learning: An Introduction, Richard S. Sutton

Political Science & Economics

• Seeing Like a State, James C. Scott
• Arguments and Icons: Divergent Modes of Religiosity, Harvey Whitehouse

Podcasts & Youtube

• Yannic Kilcher (Youtube)
• Lex Fridman (Youtube)
• Alles gesagt? (Podcast)

Lectures

• NLP, Ryan Cotterell, ETHZ
• AI Lectures, Patrick Winston, MIT

Tools

• [Manim](https://github.com/ManimCommunity/manim) to produce Math animations