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Handbook Of Big Data (chapman & Hall/crc Handbooks Of Modern Statistical Methods) by Peter Bühlmann, Petros Drineas, Michael Kane, Mark van der Laan (eds.) is a nonfiction available to read on EtoBox.

What is Handbook Of Big Data (chapman & Hall/crc Handbooks Of Modern Statistical Methods) about?

Handbook of Big Data provides a state-of-the-art overview of the analysis of large-scale datasets. Featuring contributions from well-known experts in statistics and computer science, this handbook presents a carefully curated collection of techniques from both industry and academia. Thus, the text instills a working understanding of key statistical and computing ideas that can be readily applied in research and practice. Offering balanced coverage of methodology, theory, and applications, this handbook: Describes modern, scalable approaches for analyzing increasingly large datasets Defines the underlying concepts of the available analytical tools and techniques Details intercommunity advances in computational statistics and machine learning Handbook of Big Data also identifies areas in need of further development, encouraging greater communication and collaboration between researchers in big data sub-specialties such as genomics, computational biology, and finance. Peter Bühlmann is a professor of statistics at ETH Zürich, Switzerland, fellow of the Institute of Mathematical Statistics, elected member of the International Statistical Institute, and co-author of the book

Who reads Handbook Of Big Data (chapman & Hall/crc Handbooks Of Modern Statistical Methods)?

Author

Peter Bühlmann, Petros Drineas, Michael Kane, Mark van der Laan (eds.)

Publisher

Chapman and Hall/CRC

Published

2016

Language

EN

ISBN

9780429162985

Category

nonfiction

Subjects

Business, Mathematics, Computer Science