Become an expert in Bayesian Machine Learning methods using R and apply them to solve real-world big data problems About This Book Understand the principles of Bayesian Inference with less mathematical equations Learn state-of-the art Machine Learning methods Familiarize yoursel…
An important part of the risk management of natural hazards in mountain regions concerns the hazard assessment and the planning of protection measures in steep headwater catchments, i.e. torrent control and slope stabilization. This publication presents an overview of methods to…
This book provides valuable information on analysis techniques often used to derive insight from software data. It shares best practices in the field generated by leading data scientists, collected from their experience training software engineering students and practitioners to…
Le sentiment de malaise dans la civilisation n'est pas nouveau, mais il a trouvé aujourd'hui en Europe une intensité sans précédent depuis la Seconde Guerre mondiale. La saturation de l'espace public par des discours économiques et identitaires est le symptôme d'une crise dont l…
Charles C. Ragin's The Comparative Method proposes a synthetic strategy, based on an application of Boolean algebra, that combines the strengths of both qualitative and quantitative sociology. Elegantly accessible and germane to the work of all the social sciences, and now updat…
The book presents methods for the objective analysis of poetic language. Common objects of literary studies such as rhythm, semantic explications, interpretation and personal impressions are avoided. Only those properties of poetic texts are taken into account that could be quan…