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Providing a unique and enhanced theoretical and practical understanding of OGD and its usage, as well as proposing... Læs mere
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With over 60 years of applied experience, Fay and Brittain present hypothesis testing and compatible confidence intervals,... Læs mere
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Topological data analysis (TDA) has emerged recently as a viable tool for analyzing complex data in applied domains. This comprehensive text covers the current... Læs mere
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Practical Time Series Analysis for Data Science is an accessible guide that doesn’t require a background in calculus to be engaging but does not shy away from deeper explanations of the techniques discussed.
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Chunyan Li is a course instructor with many years of experience in teaching about time series analysis. His book is essential for... Læs mere
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This book aims to build and prompt the field of Data Analytics towards decision making in terms of models and algorithms, theoretical concepts, applications,... Læs mere
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This book focuses on big data in business intelligence, data management, machine learning, cloud computing, and smart cities. It also provides an interdisciplinary platform to present and discuss recent innovations, trends, and concerns in the fields of big data and analytics.
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The use of language corpora, or large samples of natural texts, has become ubiquitous in linguistic... Læs mere
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A systematic introduction to the theory, algorithms, and applications of key mathematical models for... Læs mere
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Climate predictions - and the computer models behind them - play a key role in shaping public opinion on climate change. Providing an... Læs mere