News archive for Center for Data Science
Introduction of a Factor Augmented Sparse Throughput (FAST) model that utilizes both latent factors and sparse idiosyncratic components for nonparametric regression.
From August 7 - 11, 50+ data scientists from across Norway came together at the Joint CEDAS-NORBIS Summer School to discuss data science and its biomedical applications. The summer school featured keynotes, theoretical and practical sessions on Machine Learning, Statistics, and Visual Data Science.
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