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Mathematics and Machine Learning

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The Mathematics and Machine Learning study group is intended for mathematicians, computer scientists, and all other areas of data science. It will explore

  • What makes neural networks work so well?
  • Which applications are straining the limits of backpropagation?
  • What new forms of optimization / training can we devise?
  • What design of computer systems will be needed?

There will be weekly meetings, alternating between Full Group and Reading Group. For more information, visit http://mathsml.group.cam.ac.uk

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If you have a question about this list, please contact: Damon Wischik; Frank Kelly; Hamza Fawzi; Nicolai Baldin. If you have a question about a specific talk, click on that talk to find its organiser.

2 upcoming talks and 7 talks in the archive.

Hack: Deep dreaming of a white Christmas

UserSpeaker to be confirmed.

HouseCentre for Mathematical Sciences, MR2.

ClockTuesday 05 December 2017, 14:00-15:00

Neural networks in NLP

UserKris Cao (Computer Science / NLP).

HouseCentre for Mathematical Sciences, MR2.

ClockTuesday 21 November 2017, 14:00-15:00

Reading group: Sequence modeling with recurrent and recursive nets

UserJohannes Bausch (DAMTP) / Jack Kamm (Genetics) and Sebastian Lunz (CCA) / Oliver Leicht (DAMTP).

HouseCentre for Mathematical Sciences, MR2.

ClockTuesday 14 November 2017, 14:00-15:00

Introduction and goals

UserDamon Wischik (CL).

HouseCentre for Mathematical Sciences, MR2.

ClockTuesday 24 October 2017, 14:00-15:00

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