Authors

Authors

Oleguer Canal

Federico Taschin

Data Science (DS)
Approximation techniques for huge datasets.
  • Dimensionality reduction
  • Mining Massive Datasets
  • Mining Graphs
Machine Learning (ML)
Probabilistic view on general ML topics.
  • ML Probability Theory Basics
  • Generative Models
Reinforcement Learning (RL)
Annotations on main RL fields of study.
  • RL Basics
  • Model-Free RL
  • Model-Based RL
  • Advanced topics
Research
Some of our own projects and summaries of influential papers.
  • Own Experiments
  • Paper Reviews

Contact

Contact

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