DATA SCIENCE: STATISTICAL AND COMPUTATIONAL METHODOLOGY FOR NASA'S BIG DATA IN SCIENCE

June 21, 2016

Big Data and High Performance Computing deeply permeates NASA’s Earth and space science endeavor. However, NASA science is not institutionally well-integrated with the large community of scholars and experts who develop the methodologies underlying modern Data Science: computer scientists, information technologists, applied mathematicians and statisticians. Technology transfer from and collaboration with these scholarly communities is insufficient to meet NASA’s needs, both within NASA centers and in the wider U.S. space science research community. This White Paper details some of these issues and recommends actions to improve methodologies used for current and future missions across all science domains. Examples include: compressed sensing for image and signal processing; Deep Learning neural networks for pattern recognition and classification; Virtual Reality visual exploration tools; and agile software development and other strategies from computer engineering.

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OTHER WHITEPAPERS
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Getron

Getron is a Prescriptive Analytics & Intelligence oriented company. We utilize artificial intelligence in product management across a variety of industries. Our innovative digital assistant Getron Advisor is driven by machine learning algorithms, developed by highly skilled PhD-level data scientists and big data developers.

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