Jinjin
Zhao
Senior Applied Scientist at Amazon
"The interdisciplinary nature (mystery) of human learning and how technologies (supernatural powers) can help understand & improve how humans learn"
"The interdisciplinary nature (mystery) of human learning and how technologies (supernatural powers) can help understand & improve how humans learn"
Wed June 9 - 1:10 PM EDT/New York (See in local time)
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04//2024 1:10 PM
04//2024 01:50 PM
America/New_York
#WTGC2024
"The interdisciplinary nature (mystery) of human learning and how technologies (supernatural powers) can help understand & improve how humans learn"
#WTGC2024
"The interdisciplinary nature (mystery) of human learning and how technologies (supernatural powers) can help understand & improve how humans learn"
https://app.events.ringcentral.com/events/women-in-tech-global-conference-2024/reception
https://www.womentech.net/vfairs
"The interdisciplinary nature (mystery) of human learning and how technologies (supernatural powers) can help understand & improve how humans learn"
"The interdisciplinary nature (mystery) of human learning and how technologies (supernatural powers) can help understand & improve how humans learn"
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Session: The interdisciplinary nature (mystery) of human learning and how technologies (supernatural powers) can help understand & improve how humans learn
Learning is happening every day and second. Understanding how humans learn & improving the way we learn is essential to everyone. I’d like to introduce the novel ML/DS technologies I’ve been working on (8 papers published across conferences) in the past 1.5 years, and how those technologies can integrate well with learning science & cognitive sciences theories / practices to help us discover the mystery of human learning and help us improve the way humans learn.Key Takeaways
- A glimpse of Interdisciplinary nature of human learning
- A broad review of AI education application, research themes, and algorithms that make miracles happen.
- Deep dive into the ML/AI/DS techniques in each application.
Bio
Senior Applied scientist in AI Education 2017-nowSoftware engineer/Scientist in Supply Chain/Retail/Advertising/Recommender system 2015-2017
Master degree in Mathematical Modeling and Optimization, 2012-2015
