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Environmental science (ecology, conservation, and resource management) is an increasingly quantitative field.... Læs mere
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Predator-prey interactions are ubiquitous, govern the flow of energy up trophic levels, and strongly influence the structure of... Læs mere
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Explores the diverse applications of advanced tools and technologies of big data and its evidential value in business. It examines the role of... Læs mere
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Support Vector Machines are now established as one of the standard tools for machine learning and data mining. Students... Læs mere
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This novel book provides the reader with the fundamentals of data collection, model construction, analyses, and interpretation across a wide repertoire of demographic techniques and protocols, clearly guided throughout with fully reproducible R scripts.
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Optimization techniques are at the core of data science. An understanding of the basic techniques and their fundamental properties provides important grounding for... Læs mere
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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.
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The book is intended for practitioners in data science and data analytics in both academic and business environments. It aims to present the reader with concepts in data science and analytics that were deemed to be more advanced or simply out of scope in the author's first book.
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This is the first rigorous, self-contained treatment of the theory of deep learning. Aimed at scientists, instructors, and students interested in artificial intelligence and... Læs mere
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A practical introduction to setting up and conducting environmental research projects, with advice on how to effectively read scientific papers, develop... Læs mere
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Data Science and Analytics explores the application of big data and business analytics by academics, researchers, industrial experts, policy makers and practitioners, helping the reader to understand how big data can be efficiently utilized in better managerial applications.