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Machine Learning, Imperial College London 2017

Join the chat at https://gitter.im/MLatImperial2017/Lobby run at everware

A two-weeks in-depth course of machine learning organized by Yandex Data School at Imperial College. Contains theory and much practice!

Main topics:

  • python, scientific python (numpy, scipy, matplotlib)
  • python for data science (pandas, sklearn)
  • metric models
  • linear models
  • tree-based models and ensembles, in particular boosting
  • dimensionality reduction
  • tensor computations and neural networks (theano and keras)

Challenges

There were two challenges during the course:

  • restaraunt reviews classification
  • flavour tagging of B mesons