#143 AI in Finance with Matthew Dixon - Assistant Professor of Applied Math & Author


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By Felipe Flores. Discovered by Player FM and our community — copyright is owned by the publisher, not Player FM, and audio is streamed directly from their servers. Hit the Subscribe button to track updates in Player FM, or paste the feed URL into other podcast apps.

We have Matthew Dixon, Assistant Professor of Applied Math at the Illinois Institute of Technology and author of the textbook, Machine Learning in Finance: From Theory to Practice. He has also written several journal papers on algorithms and models for machine learning, blockchain based technologies with applications in fintech.


  • "Do you want uncertainty as your first class citizen or do you want it more as an afterthought?"
  • "You had to fit models to the data. I realised quickly that was the achilles’ heel for the approach."
  • "It isn't just a guessing game."
  • "In the Bayesian world, it sort of turns everything on its head. It says every parameter in your model is a source of error."
  • "I think interpretability is a must. Not only to appease regulators or non technical finance professionals but rather when something goes wrong."

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