Build Optimal Models in AI & Machine Learning: Overcome the Lack of Diversity

This webinar will present the practicalities of the lack of diversity in data science (specifically the lack of women, women of color, & non-white/non-Asian men & the lack of professionals from lower & working class backgrounds) & how precisely this affects the model building. Join us to learn how to overcome these challenges to build optimal models!

Start

February 9, 2019 - 5:00 pm

End

February 9, 2019 - 6:00 pm

Address

Online Webinar   View map

Categories

Open Class

IDEAS Online Free Webinar

IDEAS & Data Application Lab co-host this live webinar.


国际数据科学与工程协会 IDEAS

IDEAS is a global nonprofit organization that is dedicated to fostering the data engineering and data science ecosystems and broadening the adoption of their underlying technologies to accelerate the innovations data can bring to society. Our goal is to create a community to connect AI, Blockchain, and Data Science enthusiasts. All of the conferences that IDEAS host will demonstrate cutting-edge technology and feature a variety of AI, Blockchain, and Data Science experts covering topics including industry trends, real-world applications, open-source software, solutions-based case studies, and many others.


Guest Speakers:
Valarie Bell, a computational social scientist, researcher, and professor in the Mayborn School of Journalism’s Master of Science Program in Digital Communication Analytics at the University of North Texas

Topics:
This webinar will present the practicalities of the lack of diversity in data science (specifically the lack of women, women of color, & non-white/non-Asian men & the lack of professionals from lower & working class backgrounds) & how precisely this affects the model building.

Join us to learn how to overcome these challenges to build optimal models!

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