WebEarl D. McLean, Jr. Professor Cynthia Rudin is a professor of computer science, electrical and computer engineering, statistical science, and biostatistics & bioinformatics at Duke University, and directs the Interpretable Machine Learning Lab. Previously, Prof. Rudin held positions at MIT, Columbia, and NYU. Webالذكاء الاصطناعي القابل للتفسير (بالإنجليزية: Explainable AI)، أو الذكاء الاصطناعي المُفسر، أو التعلم الآلي القابل للتفسير (بالإنجليزية: Explainable Machine Learning)، هو الذكاء الاصطناعي الذي يمكن للبشر فهم المنطق والأسباب وراء ...
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WebDec 8, 2024 · Cynthia Rudin @CynthiaRudin · Mar 23, 2024 New review paper: "Interpretable Machine Learning: Fundamental Principles and 10 Grand Challenges" arxiv.org Interpretable Machine Learning: Fundamental Principles and 10... Interpretability in machine learning (ML) is crucial for high stakes decisions and troubleshooting. WebNov 26, 2024 · This manuscript clarifies the chasm between explaining black boxes and using inherently interpretable models, outlines several key reasons why explainable black boxes should be avoided in high-stakes decisions, identifies challenges to interpretable machine learning, and provides several example applications where interpretable models … healthy holiday appetizers for christmas
Cynthia Rudin, PhD – Dr. Francesca Dominici
WebShare your videos with friends, family, and the world WebToday, by listener request, we're joined by Cynthia Rudin, Professor of Computer Science, Electrical and Computer Engineering, and Statistical Science at Duke University. Cynthia is passionate about both machine learning and social justice, with extensive work and leadership in both areas. In this episode we discuss her paper, ‘Please Stop ... WebFeb 10, 2024 · Dr. Theja Tulabandhula, Former PhD student, currently Assistant Professor of Information and Decision Sciences, University of Illinois at Chicago healthy holiday eating powerpoint