#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." 

Thanks to our sponsor

 Talent Insights 

Read the full episode summary here: Ep 143 

Enjoy the show!

---

Send in a voice message: https://podcasters.spotify.com/pod/show/datafuturology/message