Search for tag: "machine learning"
Machine Learning in R: Clustering and Classification (Part 2 of 2) 2024-05-30This two-part workshop series provides an introduction to using R for two popular machine learning techniques: clustering and classification. Clustering involves identifying groups of similar…
From Glenda Gaines
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Machine Learning in R: Clustering and Classification (Part 1 of 2) 2024-05-23This two-part workshop series provides an introduction to using R for two popular machine learning techniques: clustering and classification. Clustering involves identifying groups of similar…
From Glenda Gaines
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Coming back down to Earth: from cosmology to the factorySpeaker: Dr. Benjamin Thorne, Atomic Industries Abstract: I currently work on applied physics and machine learning at Atomic Industries. At Atomic we are jointly automating the design and…
From Lloyd Knox
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15th Joint Math/Stat Colloquium by Michael Bronstein (Oxford): Physics-inspired Learning on GraphsThis is a video recording of the 15th Joint Math/Stat Colloquium (also a part of the MADDD seminar series) by Prof. Michael Bronstein on "Physics-inspired Learning on Graphs."Abstract: The…
From Naoki Saito
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Austin Sendek on the Intersection of Physics and EntrepreneuershipAustin Sendek is the founder and CEO of Aionics, Inc., a Silicon Valley startup that harnesses machine learning to accelerate materials R&D, with an emphasis on applications in electrochemical…
From Lloyd Knox
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James Sharpnack P.h.D. - Lessons in domain adaptation and an unsupervised hunt for gravitational lensesCeDAR (Center for Data science and Artificial intelligence Research) and UCD4IDS (UC Davis TETRAPODS Institute for Data Science) held their first joint conference in person on Friday, December 2,…
From Hasina Mamtaz
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Stefan Schonsheck P.h.D. - Representation of Non-Euclidean Domains and Analysis of Signals ThereonCeDAR (Center for Data science and Artificial intelligence Research) and UCD4IDS (UC Davis TETRAPODS Institute for Data Science) held their first joint conference in person on Friday, December 2,…
From Hasina Mamtaz
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Xueheng Shi P.h.D. - Changepoint Analysis in Time Series Data Past and PresentCeDAR (Center for Data science and Artificial intelligence Research) and UCD4IDS (UC Davis TETRAPODS Institute for Data Science) held their first joint conference in person on Friday, December 2,…
From Hasina Mamtaz
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Laura Marcu P.h.D. - Fluorescence Lifetime Imaging in Surgical OncologyCeDAR (Center for Data science and Artificial intelligence Research) and UCD4IDS (UC Davis TETRAPODS Institute for Data Science) held their first joint conference in person on Friday, December 2,…
From Hasina Mamtaz
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Alex Wein P.h.D. - Computational Complexity of Tensor DecompositionCeDAR (Center for Data science and Artificial intelligence Research) and UCD4IDS (UC Davis TETRAPODS Institute for Data Science) held their first joint conference in person on Friday, December 2,…
From Hasina Mamtaz
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Patrice Koehl P.hD. - A physicist's view on partial 3D shape comparisonCeDAR (Center for Data science and Artificial intelligence Research) and UCD4IDS (UC Davis TETRAPODS Institute for Data Science) held their first joint conference in person on Friday, December 2,…
From Hasina Mamtaz
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2020.07.16 - Dr. Nam Tran, UC Davis - Careers in Pathology and Laboratory MedicineThe Summer Talks: Careers in Pathology and Laboratory Medicine series is presented by the faculty in the Department of Pathology and Laboratory Medicine at UC Davis Health during summer 2020. The…
From Gabriela Lee
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MADDD-BartolomeoStellatoSpring2020Title: A Machine Learning Approach to Optimization Abstract: Most applications in engineering, operations research and finance rely on solving the same optimization problem several times with…
From Jesus De Loera
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