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Thick Big Data presents the available arsenal of new methods and tools for studying society both quantitatively and qualitatively, opening ground for the... Læs mere
A proven textbook based on materials developed over the last decade to teach linear, generalized, and mixed model analysis to students of ecology, evolution, and environmental studies. While R is used throughout, the focus is firmly on statistical analysis.
This book addresses the changes that have taken place in ‘data’, in the role of the ‘CDO’, and the expectations and ambitions of organisations.
The book contains a mixture of machine learning foundations, deep learning, artificial intelligence, statistics and evolutionary learning mathematics written from the usage point of view with rich explanations on what the concepts mean.
Sentiment analysis is the computational study of people's opinions, emotions, and attitudes. This comprehensive introduction covers all core... Læs mere
This book provides thorough and comprehensive coverage of most of the new and important quantitative methods of data... Læs mere
This accessible but rigorous introduction is written for advanced undergraduates and beginning graduate students in data... Læs mere
Designed for a new generation of biologists, this textbook teaches modern computational statistics by using R/Bioconductor to analyze experimental data from... Læs mere
This textbook provides a strong foundation and comprehensive overview for students and an invaluable synthesis of cutting-edge... Læs mere
In the investigation Exploring the Boundaries of Big Data The Netherlands Scientific Council for Government Policy (WRR) offers building blocks for developing a regulatory approach to Big Data.