Search for tag: "machine"
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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61 plays
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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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From Physics to Entrepreneurship: Highlighting the Career Trajectory of Yatish MishraYatish Mishra's story shows how a solid education and experience can open doors to diverse and successful careers. After earning an Applied Physics degree from UC Davis, Yatish transitioned into…
From Lloyd Knox
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Developing Your Toolbox: Thriving and Avoiding Burnout on the Academic TrackAbstract: “Should I pursue a career in academia?” This question often looms over aspiring physicists, shrouded in uncertainty and doubt. From the winding path of graduate school to the…
From Lloyd Knox
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Migration Dialogue Podcast #1: Bracero 2.0Philip Martin discusses his new book, Bracero 2.0: Mexican Workers in North American Agriculture. Bracero 2.0 explores how Mexican-born workers came to dominate seasonal farm workforces of the…
From Jeffrey Goettsch
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UC Davis AI Speaker Series: Martin Hilbert—“What's the deal with ChatGPT?”UC Davis professor Martin Hilbert presents an engaging session about the opportunities & risks of Large Language Models (LLMs).Thurs., Nov. 16, 2023, 11 a.m. DeCarli Room at the Memorial Union
From Mark Deamer
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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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