New Perspectives on Machine Learning and Science

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Опубликовано 21 июня 2016, 21:05
This session will look into the latest advances in areas of machine learning, such as causality, while also reviewing our understanding of topics such as deep learning. This session will also highlight steps towards doing reproducible science by enabling researchers to share code and data, and experiments to help nurture an environment of scientific rigor. And it will open up new avenues for collaboration between researchers via the use of co-opetitions where people can cooperate with each other to reach a higher value than by merely competing.
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