====== 11 Bayesian learning ======

Introduction to Bayesian probabilities.

===== Exercise for bonus points =====
  * Estimation of the value of old coins based on the weights of the sub-set of a bag of coins.
  * 0.5 points
  * submit your solution to [[https://cw.felk.cvut.cz/brute/|BRUTE]] **lab11quiz** by May 09, midnight
  * format: text file, photo of your solution on paper, pdf - what is convenient for you
  * solution will be discussed on the next lab
  * Students with their family name starting from A to K (included) have to solve and upload {{ :courses:be5b33kui:labs:weekly:BayesDecisionsCoins_A_2024.pdf |subject A}} , while students with family name from L to Z have to solve and upload {{ :courses:be5b33kui:labs:weekly:BayesDecisionsCoins_B_2024.pdf |subject B}}

> {{page>courses:be5b33kui:internal:quizzes#Bayes coins}}

===== Exercise II / Solving together during interactive lab =====

Introduction to Bayesian probabilities on estimation of gender of people if we know the weight distribution of male and female colleagues {{:courses:be5b33kui:labs:weekly:.pdf|(see pdf)}}.

> {{page>courses:be5b33kui:internal:quizzes#Bayes introduction}}


===== Last assignment =====

Start working on the [[courses:be5b33kui:labs:machine_learning:start|machine learning]] assignment