Nikita Kazeev graduated from Moscow Institute of Physics and Technology and from Data Science department of Yandex School of Data Analysis. He has extensive experience on applying machine learning methods for a variety of problems at the LHCb experiment at CERN: particle identification, event placement optimization, anomaly detection. He is a PhD student at Computer Science Department of the Higher School of Economics. He has organised various Data Analysis Hackathons and taught Machine Learning at MLHEP summer schools in 2015, 2016, 2017.


Introduction to Deep Learning