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Lam Nguyen
Vietnamese computer scientist and applied mathematician
Lam M. Nguyen (or Lam Nguyen; Vietnamese: Nguyễn Minh Lâm, born October 22, 1986) is a Vietnamese-American computer scientist and applied mathematician known for his contributions to optimization algorithms for machine learning and notable for proposing and developing the SARAH stochastic recursive gradient method. He is a Research Scientist at the IBM Research, Thomas J. Watson Research Center, New York, USA, where his research focuses on the intersection of optimization and machine learning.
Na Wikipédia
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Lam M. Nguyen (or Lam Nguyen; Vietnamese: Nguyễn Minh Lâm, born October 22, 1986) is a Vietnamese-American computer scientist and applied mathematician known for his contributions to optimization algorithms for machine learning and notable for proposing and developing the SARAH stochastic recursive gradient method. He is a Research Scientist at the IBM Research, Thomas J. Watson Research Center, New York, USA, where his research focuses on the intersection of optimization and machine learning. He is an INFORMS Senior member and a member of the Beta Gamma Sigma honor society, one of the highest honors a business student can receive.
Texto: Wikipédia em inglês, CC BY-SA 4.0. · Imagem: RandomForest25 (CC0) ·
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