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

By: Contributor(s): Material type: TextTextPublisher: 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 Books Main Library Graduate School Library GRD 658.403 T12m 2023 (Browse shelf(Opens below)) 1-1 Available 032035

Includes index.

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.

"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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