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Title: Machine Learning at the Bureau of Labor Statistics
Creator: Ellis, Robert, Kannan, Vinesh
Date: 2019-11-21
Description: Vinesh Kannan (CS '19) shares his experiences working as a...
Show moreVinesh Kannan (CS '19) shares his experiences working as a data science fellow at the Bureau of Labor Statistics (BLS). Vinesh worked on the team that produces occupation and wage data used by policymakers, hiring staff, job seekers, and researchers across the country. He helped improve machine learning systems at the BLS: automatically identifying problematic training data and classifying rare jobs. Vinesh offers advice for students who may be interested in applying for the 2020 Civic Digital Fellowship, a program that recruits university students at all levels to spend a summer working on civic technology projects with various federal agencies.
Sponsorship: College of Science, Department of Computer Science, Department of Applied Mathematics, Machine Learning at IIT
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Title: Semantics and further Use-Cases and Evaluation of the C-Saw language
Creator: Zhu, Henry, Zhao, Junyong, Sultana, Nik
Date: 2023-03-09
Description: This report provides supplementary technical details to the conference paper that introduced C-Saw, a language for expressing software...
Show moreThis report provides supplementary technical details to the conference paper that introduced C-Saw, a language for expressing software architecture patterns. This report provides additional examples of using C-Saw, supplementary evaluation details, and it defines the formal semantics of the language.
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