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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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Network thinking and network analysis are rapidly expanding features of ecological research, as in many aspects of the modern world. This book will provide a... Læs mere
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Douglas Ezzy explains the difference between inductive, deductive and abductive theory building, provides a guide to computer-assisted analysis and outlines techniques such as journal writing, team meetings and participant reviews.
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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.
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Introduces new graph theory techniques for the analysis and integration of multi-type large data sets) in the life sciences. Discussing... Læs mere
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This textbook teaches undergraduates in psychology, neuroscience, and medicine modern data analysis techniques. It... Læs mere
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This is the first comprehensive overview of the exciting field of the 'science of science'. With anecdotes and detailed, easy-to-follow explanations of... Læs mere
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Helping to bridge the gap between data gathering and data analysis, this book is based on a set of easy-to-follow steps woven throughout the text, enabling students to get stuck in and working with qualitative data fast.
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Data Analysis for Scientists and Engineers is a modern, graduate-level text on data analysis techniques for physical science and engineering students as well... Læs mere