Data Analytics: Models and Algorithms for Intelligent Data by Thomas A. Runkler PDF

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By Thomas A. Runkler

This publication is a entire advent to the tools and algorithms and techniques of contemporary info analytics. It covers information preprocessing, visualization, correlation, regression, forecasting, class, and clustering. It offers a valid mathematical foundation, discusses merits and disadvantages of alternative techniques, and allows the reader to layout and enforce info analytics strategies for real-world purposes. The textual content is designed for undergraduate and graduate classes on facts analytics for engineering, laptop technological know-how, and math scholars. it's also appropriate for practitioners engaged on facts analytics tasks. This publication has been used for greater than ten years in different classes on the Technical college of Munich, Germany, briefly classes at a number of different universities, and in tutorials at clinical meetings. a lot of the content material relies at the result of commercial learn and improvement tasks at Siemens.

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Data Analytics: Models and Algorithms for Intelligent Data Analysis by Thomas A. Runkler


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