Flatiron Machine Learning X Science Summer School
Flatiron Machine Learning X Science Summer School supports students and scientists with training in modern statistical machine learning and inference to help them apply these methods in scientific research.
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Funder: Simons Foundation
Funding Amounts: Housing in the NYC area provided for all participants
Summary: The summer school introduces students and scientists to modern statistical machine learning and inference for scientific research.
Description
The Flatiron Machine Learning X Science Summer School from the Simons Foundation introduces modern methods of statistical machine learning and inference to the scientific community. It addresses a gap between growing interest in machine learning among students and scientists and the limited availability of courses teaching state-of-the-art methods with scientific applications in mind.
The school combines topics at the core of modern machine learning with applications across a variety of scientific disciplines. Leading experts present their subjects and connect methodological training with uses in science. The program is aimed at students keen to learn about machine learning and scientists seeking to apply these methods to their research problems.
