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Data-Driven Modeling & Scientific Computation: Methods for Complex Systems & Big Data
Author(s) -
James P. Howard
Publication year - 2015
Publication title -
journal of statistical software
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 7.636
H-Index - 145
ISSN - 1548-7660
DOI - 10.18637/jss.v067.b01
Subject(s) - usable , computer science , computation , big data , data science , graduate students , theoretical computer science , algorithm , world wide web , data mining , sociology , pedagogy
J. Nathan Kutz’s Data Driven Modeling u0026 Scientific Computation is a new text presenting scientific computing methods in MATLAB. Unlike other scientific computing books, Kutz also takes on the broader topic of data science methods. The author, in his introduction, states two goals for his text. First, the text should be suitable for advanced undergraduate or introductory graduate instruction. Second, the book should be usable as a reference text for practitioners. Kutz divides the text into four parts, really representing two fields.

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