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The Art and Science of Analyzing Software Data provides valuable information on analysis techniques often used to derive insight from;
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Data Science and Big Data Analytics is about harnessing the power of data for new insights. The book covers the breadth of activities and;
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This book describes, simply and in general terms, the process of analyzing data. The authors have extensive experience both managing data;
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science and aids researchers in choosing the appropriate statistical technique for analyzing their data. Focusing on the use of univariate and;
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The world is awash with digital data from social networks, blogs, business, science and engineering. Data-intensive computing facilitates;
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. Each chapter is written by a prominent expert and offers a state-of-the-art solution to an identified problem facing data scientists;
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software, specifically, is a popular method for solving certain issues in the field of computer science. One key challenge is analyzing big data;
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software, specifically, is a popular method for solving certain issues in the field of computer science. One key challenge is analyzing big data;
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methods do not have the power or flexibility to make sense of very large datasets, and symbolic data analysis techniques have been developed;
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business questions. Practical Data Science with R lives up to its name. It explains basic principles without the theoretical mumbo-jumbo and jumps;
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Modern science is ever more driven by computations and simulations. In particular, the state of the art in space and Earth science often;
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Data mining is the art and science of intelligent data analysis. By building knowledge from information, data mining adds considerable;
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with qualitative data in various disciplines, including the educational and social sciences, psychology, public health, business or economics.;
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with qualitative data in various disciplines, including the educational and social sciences, psychology, public health, business or economics.;
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practical introduction to state-of-the-art data analysis for railway track engineering, Big Data and Differential Privacy: Analysis Strategies for;
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; and demonstrates basic techniques for analyzing this data online. No special software is required-the exercises can be completed using the;
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learning, and network analytics. As the study of big data becomes more popular, there is an urgent demand for studies on high-level computational;
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in materials informatics and application of data mining to materials science. This book is a one-stop guide to the latest advances in these emerging;
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that data invariably provide, and statisticians may have trouble working with any of the multitude of relevant software tools that lie outside;
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an introduction to the main issues associated with the basics of machine learning and the algorithms used in data mining. Suitable for;
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In social science outstanding results are yielded by advanced simulation methods, based on state of the art software technologies and an;
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The main purpose of this book is to investigate, explore and describe approaches and methods to facilitate data understanding through;
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sample data and results sections throughout, the book offers an unparalleled level of detail in explaining advanced statistical techniques to;
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results, and illustrated with sport and exercise science-specific sample data and results sections throughout, the book offers an unparalleled;
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of computational biology, bioinformatics, and systems biology and the application of data-analytics and algorithms, mathematical modeling, and simu- lation;
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the analytical instrumentation works, what data mining and other software tools do, and how these tools can be integrated to study proteomes;
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cover the frontiers and state-of-art development in AI Technology.;
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