Icef-dse-2024-fall

Материал из Wiki - Факультет компьютерных наук
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General course info

Fall grade = 0.2 Small HAs + 0.2 Group project + 0.3 Midterm + 0.3 Final

We expect 3 practice HA and 3 theory HA.

Lecturer: Boris Demeshev

Class teachers: Yana Khassan, Shuana Pirbudagova

Lecture video recordings

Telegram group

Log Book or Tentative Plan

2024-09-05, lecture 1: Entropy, conditional entropy, joint entropy, mutual information, cross-entropy.

  • Grand Sanderson, Solving Wordle using information theory, youtube.
  • Artem Kirsanov, Key equation behind probability, youtube. Be careful, Artem uses notation H(P, Q) for Cross entropy (we use CE(P||Q)).
  • Конспект аналогичной лекции на фкн на русском.

2024-09-12, lecture 2: Expected value of log-likelihood is zero. Kullback-Leibler divergence definition. Expected value calculation example. Optimizing long-run profit. Horse betting: optimal bet under private signal.

  • Marcin Anforowicz, Just one more paradox youtube

2024-09-19, lecture 3: Horse betting: optimal bet under signal. Optimal long-term interest rate as entropy difference. How to build a tree? Entropy drop as splitting criterion. Dealing with missing values. How to stop? Tree pruning.

2024-09-26, lecture 4: Random forest

2024-10-03, lecture 5: Bootstrap: Naive bootstrap, t-stat bootstrap, bootstrap in bootstrap.

2024-10-10, lecture 6: Gradient boosting for regression. Residual vector as minus gradient. Properties of logistic function.

Past courses

Fall 2023 wiki, Fall 2023 exams.

Fall 2022 wiki.