Readings

• Science, Mathemtatics, CS ...
  • The machine of speculative knowledge (Jonathan Swift, 1726)
  • Vox populi and vox expertorum (Francis Galton and F. H. Perry-Coste, 1907)
  • The function of the machine (George Orwell, 1937)
  • Bayesian inference for the applied statistician (Donald Rubin, 1984)
  • What a scientific theory is (Stephen Hawking, 1988)
  • A brief history of statistical learning (Gareth James et al., 2013)
  • Why MIT stopped teaching SICP (Yarden Katz et al., 2016)
  • Discussion of Software 2.0 (Andrej Karpathy and Dogan Ulus, 2017)
  • The limitations of deep learning, and its future (Francois Chollet, 2017)
  • The bitter lesson (Rich Sutton, 2019)
  • Executive order on safe, secure, and trustworthy artificial intelligence (The White House, 2023)
• Advices, Guidelines ...
  • The illustrated guide to a Ph.D. (Matt Might)
  • The grammar according to West (Douglas West)
  • Advice to a young mathematician #1 (Michael Atiyah, 2010)
  • Advice to a young mathematician #5 (Peter Sarnak, 2010)
  • Should I do a PhD? (Rishabh Jain, 2015)