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digbeta

Active learning for Big Data

Sub-projects

  • tour contains investigations on recommendations of tours, migrated to a new repository.
  • binary_reward contains a summary of theoretical results about kl-UCB and KL-UCB, which is implemented in python.
  • hmm_bandit contains a summary of ideas for using hidden Markov models for recommendation

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Active learning for Big Data

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  • Jupyter Notebook 67.7%
  • TeX 22.0%
  • Python 10.3%