MLatImperial2017

Machine Learning, Imperial College London 2017

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