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

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.

Quotes:

• "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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Read the full episode summary here: Ep 143

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