Cynthia d. rudin
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 ... 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.
Cynthia d. rudin
Did you know?
WebCynthia Rudin is a professor of computer science, electrical and computer engineering,statistical science, mathematics, and biostatistics & bioinformatics at Duke University, and directs the Interpretable Machine Learning Lab. Previously, Prof. Rudin held positions at MIT, Columbia, and NYU. WebMay 13, 2024 · Rudin, C. Please stop explaining black box models for high stakes decisions. In Proceedings of NeurIPS 2024 Workshop on Critiquing and Correcting Trends in Machine Learning (NIPS, 2024).
WebFeb 10, 2024 · Dr. Theja Tulabandhula, Former PhD student, currently Assistant Professor of Information and Decision Sciences, University of Illinois at Chicago 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 …
Web西莉亚·罗斯基. 主演. 迈克·马祖尔凯 WebApr 13, 2024 · Cynthia Rudin is a professor of computer science, electrical and computer engineering, statistical science, and biostatistics & …
WebShare your videos with friends, family, and the world
WebJun 4, 2024 · [Submitted on 4 Jun 2024] The Secrets of Machine Learning: Ten Things You Wish You Had Known Earlier to be More Effective at Data Analysis Cynthia Rudin, David Carlson Despite the widespread usage of machine learning throughout organizations, there are some key principles that are commonly missed. hide clock in taskbarWebCynthia Rudin is a professor of computer science, electrical and computer engineering, and statistical science at Duke University, and directs the Prediction Analysis Lab, whose … hide child profile on kindleWebDuke AI Health Duke Undergraduate Machine Learning Good to Know Hai Li has been named Fellow of the Association of Computing Machinery Cynthia Rudin won a 2024 Guggenheim Fellowship More ECE research … hide clock in windows 11WebCynthia. D. Rudin. Earl D. McLean, Jr. Professor. Professor of Computer Science. Professor of Electrical and Computer Engineering. Professor of Biostatistics and … hide chickenWebCynthia Rudin is a professor of computer science, electrical and computer engineering, statistical science, and biostatistics & bioinformatics at Duke University, and directs the … hide chessboardWebCynthia Rudin's 224 research works with 9,867 citations and 20,323 reads, including: Matched Machine Learning: A Generalized Framework for Treatment Effect Inference With Learned Metrics hide cmd scheduled taskWebApr 23, 2024 · This gets to the heart of AI’s social issues but falls short of where Rudin’s expertise has led her. From criminal justice to health care to computer vision to energy grid reliability, Rudin has yet to encounter a … hide clipboard in excel