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Handbook of Big Data (Hardcover)

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About this item

Computer scientists and statisticians describe some modern approaches to analyzing and understanding the structure of datasets where their size outpaces the computing resources needed to analyze them using traditional approaches. They cover general perspectives on big data, data-centric exploratory methods, efficient algorithms, graph approaches, model fitting and regularization, ensemble methods, causal inference, and targeted learning. Among specific topics are the advent of data science: some considerations on the unreasonable effectiveness of data, high-dimensional computational geometry, learning structured distributions, tutorial for causal inference, and the online estimation of the average treatment effect. Annotation ©2016 Ringgold, Inc., Portland, OR (protoview.com)
Number of Pages: 464
Genre: Business + Money Management, Computers + Internet, Mathematics
Sub-Genre: Probability + Statistics / General, Statistics, Machine Theory
Series Title: Chapman & Hall/CRC Handbooks of Modern Statistical Methods
Format: Hardcover
Publisher: Taylor & Francis
Language: English
Street Date: February 18, 2016
TCIN: 50374232
UPC: 9781482249071
Item Number (DPCI): 248-06-2676
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