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Machine Learning in Academia vs. Industry: Tech-to-problem fit on 3 example projects

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If you have a question about this talk, please contact Derek Driggs .

It is one thing to optimise Machine Learning (ML) work for publication; and a very different one to put it in production, providing value in the economy. In his talk, Meelis will discuss different perspectives of doing useful things with ML, and putting deep technology ideas into practice, based on 3 of his past projects.

This talk is part of the SIAM-IMA Cambridge Student Chapter series.

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