Deeper Than Machine Learning Is Deep Learning
With machine learning receiving a significant amount of attention in finance, the UBS Global Quantitative research team wanted to recognize how deep learning, a related but more discerning aspect of artificial intelligence recognition, might benefit investors. To tackle the issue UBS called Matthew Dixon, Professor of Finance & Statistics at the Illinois Institute of Technology, to explain how very high dimensional input and hierarchical, data compression, multi-layer networks might benefit a stock portfolio. Dixon has experience working in the banking and high frequency trading in addition to holding . . .
![]() SORRY! This content is exclusively for paying members. If you are subscribed and having an account error please clear cache and cookies if that does not work email [email protected] or click Chat.
|