{"product_id":"data-driven-modeling-scientific-computation-methods-for-complex-systems-big-data-9780198929093","title":"Data-Driven Modeling \u0026 Scientific Computation: Methods for Complex Systems \u0026 Big Data","description":"\u003cem\u003eData-Driven Modeling \u0026amp; Scientific Computation: Methods for Complex Systems \u0026amp; Big Data\u003c\/em\u003e is an accessible introductory-to-advanced textbook focusing on integrating scientific computing methods and algorithms with modern data analysis techniques, including basic applications of machine learning in the sciences and engineering. Its overarching goal is to develop techniques that allow for the integration of the dynamics of complex systems and big data. \u003cp\u003e\u003c\/p\u003eThis comprehensive textbook provides a survey of practical numerical solution techniques for ordinary and partial differential equations as well as algorithms for data manipulation, data-driven modelling, and machine learning. Emphasis is on the implementation of numerical schemes to practical problems in the engineering, biological, and physical sciences. \u003cp\u003e\u003c\/p\u003eThe high-level programming language python is used throughout the book to implement and develop mathematical solution strategies. One specific aim of the book is to integrate standard scientific computing methods with the burgeoning field of data analysis, machine learning and Artificial Intelligence (AI). This area of research is expanding at an incredible pace in the sciences due to the proliferation of data collection in almost every field of science. \u003cp\u003e\u003c\/p\u003eThe enormous data sets routinely encountered in the sciences now certainly give a big incentive to develop mathematical techniques and computational algorithms that help synthesize, interpret, and give meaning to the data in the context of its scientific setting. This brings together, in a self-consistent fashion, the key ideas from (i) statistics, (ii) time-frequency analysis and (iii) low-dimensional reductions in order to provide meaningful insight into the data sets one is faced with in any scientific field today, including those generated from complex dynamic systems. This is a tremendously exciting area and much of this part of the book is driven by intuitive examples of how the three areas (i)-(iii) can be used in combination to give critical insight into the fundamental workings of various problems.\u003cbr\u003e\u003cbr\u003e\u003cb\u003eAuthor:\u003c\/b\u003e J. Nathan Kutz\u003cbr\u003e\u003cb\u003eBinding Type:\u003c\/b\u003e Hardcover\u003cbr\u003e\u003cb\u003ePublisher:\u003c\/b\u003e Oxford University Press\u003cbr\u003e\u003cb\u003ePublished:\u003c\/b\u003e 08\/21\/2026\u003cbr\u003e\u003cb\u003ePages:\u003c\/b\u003e 608\u003cbr\u003e\u003cb\u003eWeight:\u003c\/b\u003e 3.19lbs\u003cbr\u003e\u003cb\u003eSize:\u003c\/b\u003e 9.76h x 7.66w x 1.40d\u003cbr\u003e\u003cb\u003eISBN:\u003c\/b\u003e 9780198929093\u003cbr\u003e\u003cb\u003e2nd Edition\u003c\/b\u003e","brand":"Oxford University Press","offers":[{"title":"Default Title","offer_id":48738241609865,"sku":"9780198929093","price":185.0,"currency_code":"USD","in_stock":false}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0636\/9240\/6921\/files\/img_d4eccd8b-421f-4eab-bc73-cefc4c626562.jpg?v=1792523894","url":"https:\/\/sonsanddaughtersbooks.com\/products\/data-driven-modeling-scientific-computation-methods-for-complex-systems-big-data-9780198929093","provider":"Sons and Daughters Books","version":"1.0","type":"link"}