Data Mining course at ETH Zürich.
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Updated
Feb 24, 2019 - Python
Data Mining course at ETH Zürich.
Recommendation using LinUCB algorithm
A collection of implementations of the bandit problem.
python implementation of e-Greedy, UCB, LinUCB, LinThompson, and offline evaluator
Some visualizations of bandit algorithm outputs.
Reinforcement learning models for warfarin dose online estimation
Contextual bandit algorithm called LinUCB / Linear Upper Confidence Bounds as proposed by Li, Langford and Schapire
Bandit algorithms
Predict and recommend the news articles, user is most likely to click in real time.
Multi Armed Bandits implementation using the Yahoo! Front Page Today Module User Click Log Dataset
Yahoo! news article recommendation system by linUCB
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