Der er 9+ underkategorier
Datafangst og dataanalyse
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Applications of Artificial Intelligence, Big Data and Internet of Things in Sustainable Development (Bog, Hardback, Engelsk)
This book focuses on different algorithms and models related to AI, big data, and IoT used for various... Læs mere
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Bioinformatics Tools and Big Data Analytics for Patient Care (Bog, Hardback, Engelsk)
This book describe the applications of bioinformatics, data management and computational techniques in clinical studies and drug discovery... Læs mere
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Random Matrix Methods for Machine Learning (Bog, Hardback, Engelsk)
For graduate students, practitioners, and sophisticated users, this book offers a tutorial approach to the foundations of random matrix theory for machine... Læs mere
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Ethics of Data and Analytics: Concepts and Cases (Bog, Hardback, Engelsk)
This textbook provides faculty the major concepts and cases to include in a class on the ethics of data analytics. The book is distinct as it focuses on... Læs mere
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The Elements of Big Data Value: Foundations of the Research and Innovation Ecosystem (Bog, Hardback, Engelsk)
This open access book presents the foundations of the Big Data research and innovation ecosystem and the associated enablers that facilitate delivering value from data for business and society.
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Proceedings of the International Conference on Big Data, IoT, and Machine Learning: BIM 2021 (Bog, Hardback, Engelsk)
This book gathers a collection of high-quality peer-reviewed research papers presented at the International... Læs mere
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Data Visualization for Social and Policy Research: A Step-by-Step Approach Using R and Python (Bog, Hardback, Engelsk)
This book teaches basic techniques for produce visualizations of tables, time series, maps, text, and... Læs mere
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Mathematical Pictures at a Data Science Exhibition (Bog, Hardback, Engelsk)
This text explores a diverse set of data science topics through a mathematical lens, helping mathematicians become acquainted with data science in... Læs mere
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Python Programming for Data Analysis (Bog, Hardback, Engelsk)
The author explains the internal logic embodied in the Python language so that readers can get into the Python mindset and make better design choices in their codes, which is especially helpful for newcomers to both Python and data analysis.
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Principles of Statistical Analysis: Learning from Randomized Experiments (Bog, Hardback, Engelsk)
This concise course in principled data analysis for the mathematically literate uses survey sampling and designed experiments as a... Læs mere
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Computational Topology for Data Analysis (Bog, Hardback, Engelsk)
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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Time Series Data Analysis in Oceanography: Applications using MATLAB (Bog, Hardback, Engelsk)
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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