Author:Kutz, J. Nathan. The burgeoning field of data analysis is expanding at an incredible pace due to the proliferation of data collection in almost every area of science. An accessible introductory-to-advanced text, this book fully integrates MATLAB and its versatile and high-level programming functionality, while bringing together computational and data skills for both undergraduate and graduate students in scientific computing.
Data-Driven Modeling & Scientific Computation: Methods for Complex Systems & Big Data [Paperback] Kutz, J. Nathan
Author:Kutz, J. Nathan. Book Binding:Paperback / softback. The burgeoning field of data analysis is expanding at an incredible pace due to the proliferation of data collection in almost every area of science.
The product is a textbook titled “Data-Driven Modeling and Scientific Computation: Methods for Complex Systems and Big Data” by J. Nathan Kutz. Published by Oxford University Press in 2013, this trade paperback contains 656 pages and is illustrated. The book covers subjects such as engineering, probability, statistics, and multivariate analysis, making it suitable for scholarly and professional audiences interested in technology, science, and mathematics. The publication provides insights into data-driven modeling and scientific computation, offering a comprehensive resource for those studying and working in complex systems and big data analysis.