Machine Learning and Data Analysis

One of the obstacles in scientific data analysis is that the fundamental processes lead to questions that are posed in high-dimensional spaces

At CCM, we are seeking to develop the tools and the language to characterize the high-dimensional geometry of complex models, particularly those that are coupled to physical, chemical, or biological systems where some underlying physical laws or principles are well understood.

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