Lecture 1 - Probabilistic modelling
Content: Introduction, course information, conditioning/marginalization, Bayes' theorem, conjugate prior, Binomial-Beta conjugate pair.
Lecturer: Niklas Wahlström
Reading: Bishop: 1.1-1.2.3, 2.1 or Barber: 1, 9.1. I will be closer to Bishop in notation and disposition.
Slides: lecture1_handout.pdf
Download lecture1_handout.pdf
Place: Zoom