🎓 Uni-Bonn Decision Analysis graduate course, lectures and materials
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Updated
May 22, 2024 - HTML
🎓 Uni-Bonn Decision Analysis graduate course, lectures and materials
Computer Science Notes 2024 (Decision Theory, etc.)
My personal website.
Learned the fundamentals and applications in ML: Intro to Prob. & Linear algebra, Decision Theory, MLE & BE, Linear Model, Linear Discriminant function, Perceptron, FLD, PCA, Non-parametric Learning, Clustering, EM, GMM, EM and Latent Variable Model, Probabilistic Graphical Model, Bayesian Network, Neural Network, SVM, Decision Tree and Boosting
The Sleeping Beauty problem is a puzzle in decision theory
Bayesian Information Gap Decision Theory
Efficient Government Strategies: Research findings on revolution, legal aspects, and societal satisfaction, supported by literature analysis and a Python-powered survey approach. Explore results and documentation in the attached files.
This repository holds the code for our paper "Run2Survive: A Decision-theoretic Approach to Algorithm Selection based on Survival Analysis" by Alexander Tornede, Marcel Wever, Stefan Werner, Felix Mohr and Eyke Hüllermeier.
Learned both learning and problem solving to develop statistical models for real-world AI applications
Spam or Ham Classification Project
An AI which solves the game SumX.
The project is related to the development of labs for the ITMO Speaker Recognition Course.
Presentation slides of a talk about what is rationality in decision making from game theory perspective?
Criteria for decision-making in games against nature under uncertainty in form of Jupyter Notebook. Supports Wald's, Savage, Hurwicz, Hodges–Lehmann, Laplace, Maximum Expected Utility, Minimum Expected Regret criteria.
An AI led Java program for a Tic Tac Toe game using the recursive Minimax Algorithm for game & decision making theory.
Diversified Farming Systems -- Markov Decision Process Model
Lectures on Bayesian statistics and information theory
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