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This book constitutes a comprehensive exploration of two pivotal domains that are indispensable for comprehending the contemporary challenges confronting science and society: artificial intelligence (AI) and data science...

El libro pretende hacer una revisión de las técnicas más habituales en Data Science, desde los modelos estadísticos de regresión lineal hasta aquellos más avanzados de redes neuronales, pasando por algoritmos y mod...

El libro está dirigido aquellos lectores que estén trabajando en proyecto relacionados con big data y busquen identificar las características de una solución de Big Data, los datos asociados a estas soluciones, la in...

Descubra cómo programar en blockchain y desarrolle sus propias DApps con ejemplos prácticos y soluciones reales Si quiere programar con la tecnología blockchain, necesita conocer diversos conceptos esenciales: constru...

El eje central de la XII edición del congreso (COMPDES2019) ha sido nuevamente el Internet de las Cosas (Internet of Things). Este eje se tomado como orientación general de los trabajos con las siguientes líneas temá...

Desde hace unos años el interés por todo lo que rodea el marketing digital se ha incrementado exponencialmente, dando lugar a la aparición de nuevos entornos laborales y especializaciones. Son las empresas quienes dem...

This book constitutes a comprehensive exploration of two pivotal domains that are indispensable for comprehending the contemporary challenges confronting science and society: artificial intelligence (AI) and data science...

The experiences of recent years have tested all public sectors, and society has faced challenges we would not have foreseen. This has transformed our society into one that is more global, resilient and sustainable, and w...

Natural language understanding systems require a knowledge base provided with formal representations reflecting the structure of human beings' cognitive system. Although surface semantics can be sufficient in some other ...

Digital Scholar: Learning in the Age of Internet" is your gateway to a dynamic world where education and research flourish in the digital landscape. In an era defined by limitless information and global connectivity, thi...

El propósito del repertorio Fuentes de Información de América Latina ¿1964-2008 es presentar una guía selectiva y anotada que facilite : 1) el conocimiento y el acceso a información general y especializada que se u...

Security governance surrounding infectious diseases necessitates collaboration and information sharing among diverse actors, including nation-states and institutions. The Global Antimicrobial Resistance Surveillance Syst...

Machine learning addresses the question of how to build computers that improve automatically through experience. It is one of today's most rapidly growing technical fields, lying at the intersection of computer science a...

Understanding the evolutionary history of living organisms is a central problem in biology. Until recently the ability to infer evolutionary relationships was limited by the amount of DNA sequence data available, but new...

Prediction of species’ distributions is central to diverse applications in ecology, evolution and conservation science. There is increasing electronic access to vast sets of occurrence records in museums and herbaria, ...

Amazon's Mechanical Turk (MTurk) is a relatively new website that contains the major elements required to conduct research: an integrated participant compensation system; a large participant pool; and a streamlined proce...

This is the second in a series of three articles Contrary to popular perception, qualitative research can produce vast amounts of data. These may include verbatim notes or transcribed recordings of interviews or focus gr...

Fachgebiete / Stichwörter: data science, data collection, data processing, data analysis, big data, data engineering; Technology: Technology (General): Industrial engineering. Management engineering: Information technology; Science: Mathematics: I...

Fachgebiete / Stichwörter: R (Computer program language); Statistics; Data processing; Data science; Machine learning; Information visualization; Databases; Management

In this paper we are concerned with the practical issues of working with data sets common to finance, statistics, and other related fields. pandas is a new library which aims to facilitate working with these data sets an...

Our ability to generate and collect data has been increasing rapidly. Not only are all of our business, scientific, and government transactions now computerized, but the widespread use of digital cameras, publication too...

A general inductive approach for analysis of qualitative evaluation data is described. The purposes for using an inductive approach are to (a) condense raw textual data into a brief, summary format; (b) establish clear l...

1. While teaching statistics to ecologists, the lead authors of this paper have noticed common statistical problems. If a random sample of their work (including scientific papers) produced before doing these courses were...

Deep convolutional neural networks have performed remarkably well on many Computer Vision tasks. However, these networks are heavily reliant on big data to avoid overfitting. Overfitting refers to the phenomenon when a n...