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Data Futurology - Leadership And Strategy in Artificial Intelligence, Machine Learning, Data Science
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#143 AI in Finance with Matthew Dixon - Assistant Professor of Applied Math & Author
Manage episode 285164657 series 2310475
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
Read the full episode summary here: Ep 143
Enjoy the show!
--- Send in a voice message: https://podcasters.spotify.com/pod/show/datafuturology/message268 つのエピソード
#143 AI in Finance with Matthew Dixon - Assistant Professor of Applied Math & Author
Data Futurology - Leadership And Strategy in Artificial Intelligence, Machine Learning, Data Science
Manage episode 285164657 series 2310475
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
Read the full episode summary here: Ep 143
Enjoy the show!
--- Send in a voice message: https://podcasters.spotify.com/pod/show/datafuturology/message268 つのエピソード
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