Topic: Science

This monograph is motivated by a number of recent developments that appear to define a possible new role for researchers with an engineering profile. First, there are now several software...

A comprehensive and self-contained introduction to Gaussian processes, which provide a principled, practical, probabilistic approach to learning in kernel machines. Gaussian processes (GPs) provide a principled, practical, probabilistic approach to...

This leading textbook provides a comprehensive introduction to the fields of pattern recognition and machine learning. It is aimed at advanced undergraduates or first-year PhD students, as well as researchers...

This modern and self-contained book offers a clear and accessible introduction to the important topic of machine learning with neural networks. In addition to describing the mathematical principles of the...

How marketers learned to dream of optimization and speak in the idiom of management science well before the widespread use of the Internet. Algorithms, data extraction, digital marketers monetizing "eyeballs":...

A framework for knowledge ownership that challenges the mechanisms of inequality in modern society. Scholars of science, technology, medicine, and law have all tended to emphasize knowledge as the sum...

A creative and comprehensive exploration of the institutional forces undermining the management of environments critical to public health. For almost two decades, the citizens of western Mexico have called for...

Organisms, or organized, living, systems. What's their origin? Why and how did they evolve? The Amazing Journey of Reason analyses the evolution of  complex structures in the universe -from the...

Deep learning is a form of machine learning that enables computers to learn from experience and understand the world in terms of a hierarchy of concepts. Because the computer gathers...

An Introduction to Statistical Learning provides an accessible overview of the field of statistical learning, an essential toolset for making sense of the vast and complex data sets that have emerged...

An Introduction to Statistical Learning provides an accessible overview of the field of statistical learning, an essential toolset for making sense of the vast and complex data sets that have emerged...

For courses currently engaged, or leaning toward calculus reform. Callahan fully embraces the calculus reform movement in technology and pedagogy, while taking it a step further with a unique organization...