Data Futurology - Leadership And Strategy in Artificial Intelligence, Machine Learning, Data Science

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

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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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    Data Futurology - Leadership And Strategy in Artificial Intelligence, Machine Learning, Data ScienceBy Felipe Flores
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