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Narrativa digital. Experiencias y propuestas
En Narrativa digital. Experiencias y Propuestas, se presenta el trabajo de profesores e investigadores respecto a una temática que tiene una fuerte presencia en diversos ámbitos de la sociedad actual y en el que la educación se encuentra directamente inmersa: la narración, y en particular, la narración digital. Así, la narrativa digital se aborda desde diversas perspectivas, todas ellas enfocadas a aplicaciones muy concretas y detalladas, con la finalidad de compartir experiencias, reflexiones y propuestas.
The Americas
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Constitutional Courts as Mediators
The book proposes an informational theory of constitutional review highlighting the mediator role of constitutional courts in democratic conflict solving.
Handbook of Research on Management Techniques and Sustainability Strategies for Handling Disruptive Situations in Corporate Settings
Faced with chaotic environments, it is not possible to make totally efficient forecasts, especially when it is necessary to analyze events with multiple variables and micro, small, and medium enterprises (MSMEs) constantly face events that escape the laws of the market. The handling that has been given to the crisis caused by the coronavirus has been trial and error, and the economic, social, and environmental results remain to be seen. The markets and the world are chaotic. With the markets in chaos due to the COVID-19 pandemic, it is important to look at the methods used in these environments to promote business success. The Handbook of Research on Management Techniques and Sustainability ...
Benn's Media
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Pattern Recognition and Machine Learning
This is the first textbook on pattern recognition to present the Bayesian viewpoint. The book presents approximate inference algorithms that permit fast approximate answers in situations where exact answers are not feasible. It uses graphical models to describe probability distributions when no other books apply graphical models to machine learning. No previous knowledge of pattern recognition or machine learning concepts is assumed. Familiarity with multivariate calculus and basic linear algebra is required, and some experience in the use of probabilities would be helpful though not essential as the book includes a self-contained introduction to basic probability theory.
