Data-Driven Computational Methods

Data-Driven Computational Methods
Author: John Harlim
Publisher: Cambridge University Press
Total Pages: 171
Release: 2018-07-12
Genre: Computers
ISBN: 1108472478


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Describes computational methods for parametric and nonparametric modeling of stochastic dynamics. Aimed at graduate students, and suitable for self-study.


Data-Driven Computational Methods
Language: en
Pages: 171
Authors: John Harlim
Categories: Computers
Type: BOOK - Published: 2018-07-12 - Publisher: Cambridge University Press

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Describes computational methods for parametric and nonparametric modeling of stochastic dynamics. Aimed at graduate students, and suitable for self-study.
Data-Driven Modeling & Scientific Computation
Language: en
Pages: 657
Authors: Jose Nathan Kutz
Categories: Computers
Type: BOOK - Published: 2013-08-08 - Publisher:

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Combining scientific computing methods and algorithms with modern data analysis techniques, including basic applications of compressive sensing and machine lear
Data-Driven Science and Engineering
Language: en
Pages: 615
Authors: Steven L. Brunton
Categories: Computers
Type: BOOK - Published: 2022-05-05 - Publisher: Cambridge University Press

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A textbook covering data-science and machine learning methods for modelling and control in engineering and science, with Python and MATLABĀ®.
Data-Driven Computational Neuroscience
Language: en
Pages: 709
Authors: Concha Bielza
Categories: Computers
Type: BOOK - Published: 2020-11-26 - Publisher: Cambridge University Press

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Trains researchers and graduate students in state-of-the-art statistical and machine learning methods to build models with real-world data.
Group Processes
Language: en
Pages: 206
Authors: Andrew Pilny
Categories: Computers
Type: BOOK - Published: 2017-03-07 - Publisher: Springer

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This volume introduces a series of different data-driven computational methods for analyzing group processes through didactic and tutorial-based examples. Group