Diego Granziol
Приглашенный преподаватель. Ученый в Amazon Music DE at Moscow School of Management SKOLKOVO
Biography
Moscow School of Management SKOLKOVO
Входит в оксфордскую исследовательскую группу по машинному обучению. В 2015 получил степень Masters in Physics в оксфордском университете и начал свою научную карьеру в области искусственного интеллекта и машинного обучения. В 2020 году получил D. Phil (P. h.d) в области машинного обучения в университете Оксфорда.
Ведет активное изучение и исследование таких тем как: Теория информации, Байесовский вывод, Спектральный анализ, Теория Графов, Глубокое Обучение, Оптимизация, Случайная матрица.
Experience
Amazon Applied Scientist Sep 2020 – Berlin, Germany
Holiday Crowd CTO Mar 2016 – Sep 2018 Developing technical and investment related infrastructure using Ruby, PHP & Javascript
Les cuisines en routes Technical Consultant Mar 2016 – Apr 2016
Goldman Sachs Summer Analyst Jun 2014 – Sep 2014 London, England
Education
University of Oxford Doctor of Philosophy - PhD Machine Learning/Engineering 2016 – 2020
Completed a Dphil in looking at information theory, spectral graph theory, deep neural network optimisation and theory (random matrix theory model of curvature due to mini-batching).
Oxford Master of Science (MS Physics 2011 – 2014
University College School A-level Mathematics, Further Mathematics, Physics, Chemistry and GermanGradeA*, A*, A*, A, A* 2001 – 2010
Videos
Maximum Entropy, Spectra of Graphs, Understanding the loss surface of DNN’s with Spectral Techniques
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