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CRC Press Handbook of Big Data - Modern Statistical Methods

56 black & white illustrations, 41 colou

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Description

The Handbook of Big Data offers a state-of-the-art overview for analyzing large-scale datasets. Published as part of the Chapman and Hall/CRC Handbooks of Modern Statistical Methods, this text brings together contributions from leading experts in both statistics and computer science. It provides a curated collection of techniques sourced from academia and industry to help readers build a working understanding of essential statistical and computing ideas. This handbook is designed for those who need to apply complex methods to real-world research and professional practice. It provides a balanced look at methodology, theory, and practical applications. By studying this text, you will learn about modern, scalable approaches for handling increasingly large datasets and gain a clear definition of the current landscape in big data analysis. It serves as a comprehensive resource for anyone working in econometrics, data science, or large-scale statistical modeling.

Key Features

Access a curated collection of techniques from both industry experts and academic researchers.

Learn modern and scalable approaches specifically designed for analyzing increasingly large datasets.

Gain a working understanding of key statistical and computing ideas for immediate research application.

Study a balanced mix of methodology, theory, and practical applications for professional use.

Benefit from insights provided by well-known experts in the fields of statistics and computer science.

Product Specifications

Format
hardcover
Domain
Amazon UK
Release Date
06 April 2016
Listed Since
15 April 2015

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