In this 2-part episode, we delve into 5 major AI / ML models and 40+ associated keywords, running through the merits and differences between those models, the drawbacks from each, and use cases in applying these models to alpha generation and investing. We also cover which areas may be most ripe for further development and adoption within the industry. Peng Cheng, Head of Big Data and AI Strategies within J.P. Morgan’s Research division, and Emma Wu, a member of the same team, are in discussion with Eloise Goulder, Head of ...
In this 2-part episode, we delve into 5 major AI / ML models and 40+ associated keywords, running through the merits and differences between those models, the drawbacks from each, and use cases in applying these models to alpha generation and investing. We also cover which areas may be most ripe for further development and adoption within the industry. Peng Cheng, Head of Big Data and AI Strategies within J.P. Morgan’s Research division, and Emma Wu, a member of the same team, are in discussion with Eloise Goulder, Head of the Data Assets & Alpha Group.
Websites referenced throughout this episode:
https://arxiv.org/
https://www.ssrn.com/index.cfm/en/
https://www.kaggle.com/
https://developers.google.com/machine-learning/glossary
This episode was recorded on November 30, 2023.
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