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Mar 22, 2024 · Michael Mahoney is a professor of statistics and data science at UC Berkeley, with research interests in big data, machine learning, and scientific computing. He is also the director of the International Computer Science Institute and the Foundations of Data Analysis Institute, and has won several awards and honors for his work.
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Most of my work focuses on the applied mathematics of data,...
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Overview. The main focus of my work is on algorithmic and...
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Recent and Upcoming Developments in Randomized Numerical...
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Talks and Presentations Recent tutorial presentations: ....
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Michael Mahoney - Teaching. Classes. Spring 2018: Linear...
- Linear Algebra for Data Science
Instructor: Michael Mahoney Term: Spring 2018. Time and...
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Articles 1–20. Professor of Statistics, UC Berkeley - Cited by 33,775 - Algorithms - Statistics - Linear Algebra - Data Analysis - Machine Learning.
Michael “Mike” Mahoney is Chief Executive Officer of Boston Scientific Corporation and Chairman of the company’s Board of Directors.
Recent and Upcoming Developments in Randomized Numerical Linear Algebra for Machine Learning, M. Derezinski and M. W. Mahoney, Technical Report, Preprint: arXiv:2406.11151 (2024) ( arXiv ), Accepted for publication, Proc. of the 30th Annual SIGKDD, 0000–0000 (2024) ().
Research Areas. Statistical Computing. Applications in the Physical and Environmental Sciences. Applications in the Social Sciences. High Dimensional Data Analysis.
Michael W. Mahoney. Dynamical systems that evolve continuously over time are ubiquitous throughout science and engineering. Machine learning (ML) provides data-driven approaches to model and...
Overview. The main focus of my work is on algorithmic and statistical aspects of modern large-scale data analysis. There is a focus on foundational/theoretical questions, but this theory is strongly tethered to implementational questions and a diverse range of very practical applications.