Data-driven discovery is revolutionizing the modeling, prediction, and control of complex systems. This textbook brings together machine learning, engineering mathematics, and mathematical physics to …
Shelve Data-Driven Science and Engineering: Machine Learning, Dynamical Systems, and Control
A comprehensive guide to the conceptual, mathematical, and implementational aspects of analyzing electrical brain signals, including data from MEG, EEG, and LFP recordings. This book offers a comprehe…
Shelve Analyzing Neural Time Series Data: Theory and Practice (Issues in Clinical and Cognitive Neuropsychology)
Data-driven dynamical systems is a burgeoning field-it connects how measurements of nonlinear dynamical systems and/or complex systems can be used with well-established methods in dynamical systems th…
Shelve Dynamic Mode Decomposition: Data-Driven Modeling of Complex Systems
Miraculously preserved on clay tablets dating back as much as four thousand years, the poem of Gilgamesh, king of Uruk, is the world’s oldest epic, predating Homer by many centuries. The story tells o…
For one or two-semester, undergraduate or graduate-level courses in Artificial Intelligence. The long-anticipated revision of this best-selling text offers the most comprehensive, up-to-date introduct…
The Proud Tower, the Pulitzer Prize–winning The Guns of August, and The Zimmerman Telegram comprise Barbara W. Tuchman’s classic histories of the First World War era
The availability of large data sets have allowed researchers to uncover complex properties such as large scale fluctuations and heterogeneities in many networks which have lead to the breakdown of sta…
