Probabilistic machine learning - foundations and frontiers

Speaker: Zoubin Ghahramani Video: https://livestream.com/oxuni/Stracheylecture-Ghahramani/videos/151163648

My notes from the Strachey lecture on Probabilistic machine learning at Oxford University.

  • Related terms
    • deep learning
    • data science
    • neural networks
    • ai
  • Applications
    • computer vision
      • image captioning
      • face detection
    • speech recognition
    • scientific data analysis
    • recommender systems
    • self-driving cars
    • robotics
      • dogs playing football
    • financial prediction
    • computer games
      • libratus: machine poker player
  • Canonical problems
    • classification: predict discrete class label from input data
    • regression: predict continuous quantities from input data
    • clustering: group data together
    • dimensionality problem
    • semi-supervised learning: learn from both labelled and unlabelled data
    • reinforcement learning
  • Deep learning systems are like neural networks of the 80s and 90s with innovations in some areas:
    • volume of data
    • larger compute resources
  • Limitations od deep learning

  • Probabilistic representation of uncertainty

  • Automating machine learning

References

  • https://en.wikipedia.org/wiki/Bayes’_theorem
  • https://www.automaticstatistician.com/index/
  • https://en.wikipedia.org/wiki/Prior_probability
  • https://en.wikipedia.org/wiki/Causality