Machine learning for sports & realtime predictions, w Microsoft Research’s Danny Tarlow

by Talking Machines

31 July 2015

share this:

aerial_view_football_field_stadium In episode sixteen we chat with Danny Tarlow of Microsoft Research Cambridge (in the UK not MA). Danny (along with Chris Maddison and Tom Minka) won best paper at NIPS 2014 for his paper A* Sampling. We talk with him about his work in applying machine learning to sports and politics.

Plus we take a listener question on making real time predictions using machine learning, and we demystify backpropagation. You can use Torch, Theano or Autograd to explore backprop more.

tags: Algorithm AI-Cognition, Artificial Intelligence, machine learning, Microsoft Research

Talking Machines is your window into the world of machine learning.

AUAI is supported by:

Robot Talk Episode 163 – Robots helping people, with Aaron Edsinger

Robot Talk 25 Sep 2026

In the first episode of Robot Talk season 7, Claire chatted to Aaron Edsinger from Hello Robot about their Stretch robots that can help people with mobility issues live more independently.

An open source approach to physical AI from Intrinsic

Lucy Smith 25 Sep 2026

Find out more about the capabilities of Intrinsic Core.

What’s coming up at #IROS2026?

Lucy Smith 24 Sep 2026

Find out what the International Conference on Intelligent Robots and Systems has in store.

Robotics roadmaps from around the world spotlight of the month: China

IEEE Robotics and Automation Society (RAS) 23 Sep 2026

China is targeting the next industrial revolution by doubling down on embodied AI and humanoid robotics, building directly on its vast manufacturing infrastructure.