Research in Data Science PDF
By:Ellen Gasparovic,Carlotta Domeniconi
Published on 2019-03-25 by Springer
This edited volume on data science features a variety of research ranging from theoretical to applied and computational topics. Aiming to establish the important connection between mathematics and data science, this book addresses cutting edge problems in predictive modeling, multi-scale representation and feature selection, statistical and topological learning, and related areas. Contributions study topics such as the hubness phenomenon in high-dimensional spaces, the use of a heuristic framework for testing the multi-manifold hypothesis for high-dimensional data, the investigation of interdisciplinary approaches to multi-dimensional obstructive sleep apnea patient data, and the inference of a dyadic measure and its simplicial geometry from binary feature data. Based on the first Women in Data Science and Mathematics (WiSDM) Research Collaboration Workshop that took place in 2017 at the Institute for Compuational and Experimental Research in Mathematics (ICERM) in Providence, Rhode Island, this volume features submissions from several of the working groups as well as contributions from the wider community. The volume is suitable for researchers in data science in industry and academia.
This Book was ranked at 11 by Google Books for keyword mathematics education.
Book ID of Research in Data Science's Books is bLqODwAAQBAJ, Book which was written byEllen Gasparovic,Carlotta Domeniconihave ETAG "RBl28qt1MLc"
Book which was published by Springer since 2019-03-25 have ISBNs, ISBN 13 Code is 9783030115661 and ISBN 10 Code is 3030115666
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Book which have "297 Pages" is Printed at BOOK under CategoryMathematics
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