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Adaptations to Convection Cells
Animations | 21 Aug 2022 | Contributor(s):: Chris Winkler, Rice University, NEWT Center
Changing temperature differences between the poles and the equator, and the rate of the Earth’s spin, create unique atmospheric patterns. These movements help to transfer heat from the equator to the poles thus creating weather. Deep Learning is used to help predict the changes due to...
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MRS Computational Materials Science Tutorial
Tools | 04 May 2022 | Contributor(s):: Panayotis Thalis Manganaris, Saaketh Desai, Arun Kumar Mannodi Kanakkithodi
Hands-on guide to the development of statistical models useful for materials design using python, sklearn, tensorflow, and intel extensions.
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Data Analysis with MATLAB
Online Presentations | 04 Mar 2022 | Contributor(s):: Gen Sasaki
Learn how MATLAB can be used to visualize and analyze data, perform numerical computations, and develop algorithms. Through live demonstrations and examples, you will see how MATLAB can help you become more effective in your coursework as well as in research.
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Ogoi, Nixon W
https://nanohub.org/members/359135
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Feb 16 2022
nanoHUB Hands-On Workshop: Data Analysis with MATLAB
Abstract: Do you find analyzing your data to be a painful process of cleansing and selecting data, running functions that don’t give you any indication of the output, and force you to keep...
https://nanohub.org/events/details/2158
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COVID-19 data analysis
Tools | 07 Aug 2020 | Contributor(s):: Randy Heiland, Paul Macklin
Perform data analysis in a Jupyter notebook using data from the pc4covid19 tool.
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Interactive Learning Tools for Scientific Computing and Data Analysis Using R
Tools | 29 Jul 2020 | Contributor(s):: Cindy Nguyen, Rei Sanchez-Arias
Root-finding methods and numerical optimization techniques with applications in science, engineering, and data analysis
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Data Analysis of Normal Data Sets in Engineering
Tools | 24 Jul 2020 | Contributor(s):: Joseph Joshua Williams, Nancy Ruzycki
Statistical and data analysis concepts in engineering
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FIFA 2010 visualization
Tools | 04 Mar 2020 | Contributor(s):: Rei Sanchez-Arias
Data visualization of players that participated in the FIFA 2010 tournament
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Networked Dynamical Systems for Function and Learning: Paradigms for Data-Driven Control and Learning in Neurosensory Systems
Online Presentations | 16 Jan 2019 | Contributor(s):: J. Nathan Kutz
Our objective is to use emerging data-driven methods to extract the underlying engineering principles of cognitive capability, namely those that allow complex networks to learn and enact control and functionality in the robust manner observed in neurosensory systems. Mathematically, the...
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Data-Driven Discovery of Governing Equations of Physical Systems
Online Presentations | 16 Jan 2019 | Contributor(s):: J. Nathan Kutz
We introduce a number of data-driven strategies for discovering nonlinear multiscale dynamical systems and their embeddings from data. We consider two canonical cases: (i) systems for which we have full measurements of the governing variables, and (ii) systems for which we have incomplete...
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ECE 695E: An Introduction to Data Analysis, Design of Experiment, and Machine Learning
Courses | 07 Jan 2019 | Contributor(s):: Muhammad A. Alam
This course will provide the conceptual foundation so that a student can use modern statistical concepts and tools to analyze data generated by experiments or numerical simulation.
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Randy Heiland
--M.A. in Mathematics, Arizona State University--M.S. in Computer Science, University of Utah--B.S. in Computational Math, Eastern Illinois University-----Randy enjoys making contributions to...
https://nanohub.org/members/93985
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[Illinois] PHYS466 2013 Lecture 16: Importance Sampling
Online Presentations | 12 Jun 2013 | Contributor(s):: David M. Ceperley