The machine learning summer school series was started in 2002 with the motivation to promulgate modern methods of statistical machine learning and inference. It was motivated by the observation that while many students are keen to learn about machine learning, and an increasing number of researchers want to apply machine learning methods to their research problems, only few machine learning courses are taught at universities. Machine learning summer schools present topics which are at the core of modern Mac
MLSS contact : Bernhard Schölkopf, Alex Smola
Marco Cuturi
Been Kim
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Snehasis Banerjee
Ryota Tomioka @ MSR Cambridge
Machine Learning Summer School 2019 - Moscow, Russia
Rodrigo Rivera - Machine Learning Researcher
Tim Lebailly
Guy Davidson