Modern business analytics : practical data science for decision-making / Matt Taddy, Leslie Hendrix, and Matthew Harding.

By:

Taddy, Matt [author.]

Contributor(s):

Material type: Text

TextPublisher: New York, NY : McGraw Hill LLC, 2023Description: xxii, 442 pages ; 25 cmContent type:

text

Media type:

unmediated

Carrier type:

volume

ISBN:

9781266108334

Subject(s):

DDC classification:

658.403 T12m 23/eng/20220125

LOC classification:

HD30.23 .T3245 2023

Contents:

Regression -- Uncertainty quantification -- Regularization and selection -- Classification -- Causal inference with experiments -- Casual inference with controls -- Trees and forests -- Factor models -- Text as data -- Deep learning.

Summary: "The practice of data analytics is changing and modernizing. Innovations in computation and machine learning are creating new opportunities for the data analyst: exposing previously unexplored data to scientific analysis, scaling tasks through automation, and allowing deeper and more accurate modeling"-- Provided by publisher.

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Holdings
Item type	Current library	Shelving location	Call number	Copy number	Status	Date due	Barcode
Books	Main Library	Graduate School Library	GRD 658.403 T12m 2023 (Browse shelf(Opens below))	1-1	Available		032035

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Includes index.

"The practice of data analytics is changing and modernizing. Innovations in computation and machine learning are creating new opportunities for the data analyst: exposing previously unexplored data to scientific analysis, scaling tasks through automation, and allowing deeper and more accurate modeling"-- Provided by publisher.

Ages 18+ McGraw Hill Education.

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