From the New York Times to Gawker, a behind-the-scenes look at how performance analytics are transforming journalism today-and how they might remake other professions tomorrowJournalists today are inundated with data about which stories attract the most clicks, likes, comments, and shares.
A remarkable look at how the growth, technology, and politics of high-frequency trading have altered global financial marketsIn today's financial markets, trading floors on which brokers buy and sell shares face-to-face have increasingly been replaced by lightning-fast electronic systems that use algorithms to execute astounding volumes of transactions.
How populism is fueled by the demise of the industrial order and the emergence of a new digital society ruled by algorithmsIn the revolutionary excitement of the 1960s, young people around the world called for a radical shift away from the old industrial order, imagining a future of technological liberation and unfettered prosperity.
Repairable flow networks are a new area of research, which analyzes the repair and flow disruption caused by failures of components in static flow networks.
"Las herramientas de aprendizaje automático están siendo muy utilizadas por sus buenas aproximaciones al predecir el rendimiento académico de los estudiantes.
Computability, Complexity, and Languages is an introductory text that covers the key areas of computer science, including recursive function theory, formal languages, and automata.
Due to an ever-decreasing supply in raw materials and stringent constraints on conventional energy sources, demand for lightweight, efficient and low cost structures has become crucially important in modern engineering design.
The computer science problem whose solution could transform life as we know itThe P-NP problem is the most important open problem in computer science, if not all of mathematics.
Este libro es una propuesta metodológica, sistemática y generalizada en la cual se especifican los pasos que se deben seguir para la aplicación de la minería de procesos, desde la planeación de un proyecto hasta la implantación de sus alternativas de mejora.
El objetivo de este libro es mostrar una técnica conocida como "Regresión Simbólica", la cual es una aplicación de los algoritmos genéticos para la búsqueda de patrones en una serie de datos.
El primer volumen basado en la segunda edición americana puede considerarse como la intersección de todo el conjunto de libros, en el sentido de que contiene el material básico que se utiliza en los restantes volúmenes.
The second edition of this successful machine vision textbook is completely updated, revised and expanded by 35% to reflect the developments of recent years in the fields of image acquisition, machine vision algorithms and applications.
The second edition of this successful machine vision textbook is completely updated, revised and expanded by 35% to reflect the developments of recent years in the fields of image acquisition, machine vision algorithms and applications.
The computer science problem whose solution could transform life as we know itThe P-NP problem is the most important open problem in computer science, if not all of mathematics.
This book lays out the theoretical groundwork for personalized search and reputation management, both on the Web and in peer-to-peer and social networks.
ALGORITHMS IN BIOINFORMATICS Explore a comprehensive and insightful treatment of the practical application of bioinformatic algorithms in a variety of fields Algorithms in Bioinformatics: Theory and Implementation delivers a fulsome treatment of some of the main algorithms used to explain biological functions and relationships.
ALGORITHMS IN BIOINFORMATICS Explore a comprehensive and insightful treatment of the practical application of bioinformatic algorithms in a variety of fields Algorithms in Bioinformatics: Theory and Implementation delivers a fulsome treatment of some of the main algorithms used to explain biological functions and relationships.
NATURE-INSPIRED ALGORITHMS AND APPLICATIONS The book s unified approach of balancing algorithm introduction, theoretical background and practical implementation, complements extensive literature with well-chosen case studies to illustrate how these algorithms work.
NATURE-INSPIRED ALGORITHMS AND APPLICATIONS The book s unified approach of balancing algorithm introduction, theoretical background and practical implementation, complements extensive literature with well-chosen case studies to illustrate how these algorithms work.
