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Explainable Machine Learning Models for Healthcare AI with Ankur Teredesai, Dr. Carly Eckert, Muhammad Aurangzeb Ahmad, and Vikas Kumar
This tutorial extensively covers the definitions, nuances, challenges, and requirements for the design of interpretable and explainable machine learning models and systems in healthcare. We discuss many uses in which interpretable machine learning models are needed in healthcare and how they should be deployed. Additionally, we explore the landscape of recent advances to address the challenges model interpretability in healthcare and also describe how one would go about choosing the right interpretable machine learning algorithm for a given problem in healthcare.
ACM award winners, leading researchers, industry veterans, thought leaders, and innovators address today and tomorrow's hottest topics and issues in computing for busy practitioners, as well as educators, students, and researchers. Check out our archive of these ACM Learning Webinars, free for members and non-members alike.
Talks from some of the leading visionaries and bleeding-edge researchers in AI/ML: Fei-Fei Li on visual intelligence in computers and ImageNet; Eric Horvitz on AI solutions in the open world; and Tom Mitchell on using ML to study how the brain creates and represents language.
View the most recent ACM Learning Webinar, "Break Into AI: A Q&A with Andrew Ng on Building a Career in Machine Learning," on demand. Andrew Ng, a globally recognized leader in AI, leads the discussion. Juan Miguel de Joya, in-house consultant for AI and Emerging Technologies at the UN ITU, moderated the talk and questions from the audience. Continue the discussion and check out further resources on ACM's Discourse Page.
View the ACM Learning Webinar "Concurrent Object-Oriented Programming" on demand. This talk was presented by Bertrand Meyer, CTO of Eiffel Software. Elisabetta Di Nitto, Professor in the Dipartimento di Elettronica, Informazione e Bioingegneria of Politecnico di Milano and Vice Chair of ACM SIGSOFT, moderated the talk and questions from the audience. Continue the discussion and check out further resources on ACM's Discourse Page.